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.