Triple
T9076051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Broca |
E217485
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Broca |
E37741
|
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: Broca | Statement: [André Broca, hasFamilyName, Broca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broca Context triple: [André Broca, hasFamilyName, Broca]
-
A.
Broca
chosen
Broca is a French surname most famously associated with Paul Broca, the 19th-century physician and anatomist who identified the brain region responsible for speech production.
-
B.
Cervelló
Cervelló is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona.
-
C.
Broca's area
Broca's area is a region in the frontal lobe of the dominant hemisphere of the brain that is crucial for speech production and language processing.
-
D.
Beyincé
Beyincé is the maiden surname of Tina Knowles, mother of singer Beyoncé, and a family name associated with the Knowles-Beyoncé family.
-
E.
Magendie
Magendie is a French surname most notably associated with François Magendie, a pioneering 19th-century physiologist known for his foundational work in experimental physiology and neurology.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c53274819099b3b3047bfe8cc8 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe0fade4819093e4d1d91aca1d3f |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:12 p.m.