Triple
T1903305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Broca |
E37741
|
entity |
| Predicate | hasEponym |
P12247
|
FINISHED |
| Object | Broca's aphasia |
E37743
|
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's aphasia | Statement: [Paul Broca, hasEponym, Broca's aphasia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broca's aphasia Context triple: [Paul Broca, hasEponym, Broca's aphasia]
-
A.
Broca's aphasia
chosen
Broca's aphasia is a language disorder characterized by non-fluent, effortful speech and relatively preserved comprehension, typically resulting from damage to the left frontal lobe of the brain.
-
B.
Wernicke area
Wernicke area is a region of the human brain’s temporal lobe crucial for understanding spoken and written language.
-
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.
Broca
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.
-
E.
MCI-Shirley
MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18f10e48190b2f8c64c42cc55f3 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf768888190885ffa1632537445 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.