Triple
T130669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Does the Inertia of a Body Depend Upon Its Energy Content? |
E2646
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Johann Ambrosius Barth (Annalen der Physik publisher)
Johann Ambrosius Barth was a German publishing house best known for issuing the physics journal Annalen der Physik, which published many foundational papers in modern physics.
|
E14937
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Johann Ambrosius Barth (Annalen der Physik publisher) | Statement: [Does the Inertia of a Body Depend Upon Its Energy Content?, publisher, Johann Ambrosius Barth (Annalen der Physik publisher)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Ambrosius Barth (Annalen der Physik publisher) Context triple: [Does the Inertia of a Body Depend Upon Its Energy Content?, publisher, Johann Ambrosius Barth (Annalen der Physik publisher)]
-
A.
Annalen der Physik
Annalen der Physik is one of the oldest and most prestigious physics journals, historically significant for publishing many foundational works in theoretical physics, including Albert Einstein’s early papers.
-
B.
Dr. Hermann Gottlieb
Dr. Hermann Gottlieb is a brilliant but eccentric mathematician and kaiju researcher in the Pacific Rim universe, known for his analytical rivalry and eventual partnership with scientist Newton Geiszler.
-
C.
Wilhelm Ritter von Thoma
Wilhelm Ritter von Thoma was a German Wehrmacht general and tank commander in World War II, best known for leading armored forces in the North African campaign.
-
D.
Wilhelm Stuckart
Wilhelm Stuckart was a senior Nazi lawyer and state secretary in the Reich Ministry of the Interior who helped draft the Nuremberg Laws and contributed to the legal framework of the Holocaust.
-
E.
William Whewell
William Whewell was a 19th-century English polymath, philosopher, and historian of science known for coining key scientific terms and shaping the philosophy of scientific method.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Johann Ambrosius Barth (Annalen der Physik publisher) Triple: [Does the Inertia of a Body Depend Upon Its Energy Content?, publisher, Johann Ambrosius Barth (Annalen der Physik publisher)]
Generated description
Johann Ambrosius Barth was a German publishing house best known for issuing the physics journal Annalen der Physik, which published many foundational papers in modern physics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johann Ambrosius Barth (Annalen der Physik publisher) Target entity description: Johann Ambrosius Barth was a German publishing house best known for issuing the physics journal Annalen der Physik, which published many foundational papers in modern physics.
-
A.
Annalen der Physik
Annalen der Physik is one of the oldest and most prestigious physics journals, historically significant for publishing many foundational works in theoretical physics, including Albert Einstein’s early papers.
-
B.
Dr. Hermann Gottlieb
Dr. Hermann Gottlieb is a brilliant but eccentric mathematician and kaiju researcher in the Pacific Rim universe, known for his analytical rivalry and eventual partnership with scientist Newton Geiszler.
-
C.
Wilhelm Ritter von Thoma
Wilhelm Ritter von Thoma was a German Wehrmacht general and tank commander in World War II, best known for leading armored forces in the North African campaign.
-
D.
Wilhelm Stuckart
Wilhelm Stuckart was a senior Nazi lawyer and state secretary in the Reich Ministry of the Interior who helped draft the Nuremberg Laws and contributed to the legal framework of the Holocaust.
-
E.
William Whewell
William Whewell was a 19th-century English polymath, philosopher, and historian of science known for coining key scientific terms and shaping the philosophy of scientific method.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2a3d73bf08190b0c3dd227206cab0 |
completed | Feb. 28, 2026, 8:14 a.m. |
| NEDg | Description generation | batch_69a2a50e4bec8190ab7e27d852460f67 |
completed | Feb. 28, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a624eaf48190a7c31047832cbf34 |
completed | Feb. 28, 2026, 8:24 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.