Triple
T1909510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broca's area |
E38076
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object | Paul Broca |
E5993
|
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: Paul Broca | Statement: [Broca's area, discoveredBy, Paul Broca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Broca Context triple: [Broca's area, discoveredBy, Paul Broca]
-
A.
Paul Broca
chosen
Paul Broca was a 19th-century French physician, anatomist, and anthropologist best known for discovering the brain region responsible for speech production, now called Broca's area.
-
B.
André Broca
André Broca was a 19th-century French physician and anatomist known for his contributions to the study of the nervous system and pathology.
-
C.
José Broca
José Broca was a 19th-century Spanish classical guitarist and composer known for his refined salon-style guitar works.
-
D.
Philippe de Broca
Philippe de Broca was a French film director best known for his witty, adventurous comedies and collaborations with stars like Jean-Paul Belmondo during the 1960s and 1970s.
-
E.
de Broca
De Broca is the surname of Philippe de Broca, a notable French film director known for his lively adventure comedies and romantic films.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b7095c8190ad7e472aada30d3d |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6522bb448190ae50a476da53fcda |
completed | March 9, 2026, 6:13 a.m. |
Created at: March 4, 2026, 7:35 p.m.