Triple
T8894127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Braque |
E211759
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Braque |
E211759
|
NE FINISHED |
How this triple was built (2 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: Braque | Statement: [Georges Braque, familyName, Braque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braque Context triple: [Georges Braque, familyName, Braque]
-
A.
Braque
chosen
Braque is the surname of Georges Braque, the influential French painter and co-founder of Cubism.
-
B.
Tardieu
Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
-
C.
Vieillot
Vieillot is the surname of Louis Pierre Vieillot, a French ornithologist known for his pioneering work in the classification and description of birds.
-
D.
Olympia Bruno Coquatrix
Olympia Bruno Coquatrix is a historic and iconic Parisian music hall renowned for hosting major international concerts and performances.
-
E.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bc92c881908aab536af9b35178 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabf795b08190bb4c45d6ede3b8b4 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:54 p.m.