Triple
T6693003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Bettencourt |
E152674
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bettencourt |
E536937
|
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: Bettencourt | Statement: [André Bettencourt, familyName, Bettencourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bettencourt Context triple: [André Bettencourt, familyName, Bettencourt]
-
A.
Bettencourt
chosen
Bettencourt is a prominent French surname most famously associated with Liliane Bettencourt, the L'Oréal heiress and once one of the world's wealthiest women.
-
B.
Bonaly
Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
-
C.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
-
D.
Cantona
Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
-
E.
Mauroy
Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b1955e448190adbfed7dc28f8c52 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b97210819086e88624c476fa24 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.