Triple
T840839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopold I, Holy Roman Emperor |
E18172
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Leopold
Leopold is a masculine given name of Germanic origin historically borne by various European rulers, saints, and notable figures.
|
E110183
|
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: Leopold | Statement: [Leopold I, Holy Roman Emperor, givenName, Leopold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leopold Context triple: [Leopold I, Holy Roman Emperor, givenName, Leopold]
-
A.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
C.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
D.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
E.
Eduard
Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
- 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: Leopold Triple: [Leopold I, Holy Roman Emperor, givenName, Leopold]
Generated description
Leopold is a masculine given name of Germanic origin historically borne by various European rulers, saints, and notable figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leopold Target entity description: Leopold is a masculine given name of Germanic origin historically borne by various European rulers, saints, and notable figures.
-
A.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
B.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
C.
Hermann
Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
-
D.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
E.
Eduard
Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe5d7848190b15e0cb343b6f4ba |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7edfe79bc8190bcfb89f4bbc1feb4 |
completed | March 4, 2026, 8:31 a.m. |
| NEDg | Description generation | batch_69a80a93f1f081909ca6a76346fd607e |
completed | March 4, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a80aecb32c81908456b38f0d4603ef |
completed | March 4, 2026, 10:35 a.m. |
Created at: March 1, 2026, 7:38 p.m.