Triple
T17616999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoît Delhomme |
E429109
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Delhomme |
—
|
NE NERFINISHED |
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: Delhomme | Statement: [Benoît Delhomme, familyName, Delhomme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delhomme Context triple: [Benoît Delhomme, familyName, Delhomme]
-
A.
Delhomme
chosen
Delhomme is a French surname most notably associated with former NFL quarterback Jake Delhomme.
-
B.
Doumergue
Doumergue is the surname of Gaston Doumergue, a French statesman who served as President of France in the early 20th century.
-
C.
Villedieu
Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
-
D.
Dreyen
Dreyen is a locality or district that forms part of the town of Enger in North Rhine-Westphalia, Germany.
-
E.
CeCe D’Aplièse
CeCe D’Aplièse is one of the adopted D’Aplièse sisters in Lucinda Riley’s bestselling "The Seven Sisters" series, known for her artistic talent, complex self-doubt, and journey of self-discovery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d33a2b081908deecee773c333af |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.