Triple
T3814564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimbell Art Museum |
E84219
|
entity |
| Predicate | hasWorkBy |
P12366
|
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: [Kimbell Art Museum, hasWorkBy, Braque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braque Context triple: [Kimbell Art Museum, hasWorkBy, Braque]
-
A.
Braque
chosen
Braque is the surname of Georges Braque, the influential French painter and co-founder of Cubism.
-
B.
Vieillot
Vieillot is the surname of Louis Pierre Vieillot, a French ornithologist known for his pioneering work in the classification and description of birds.
-
C.
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.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8de9e948190bf461e55ad00eddb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3ddc1481909fd4a8befb8ece17 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:17 p.m.