Triple
T15842733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligier (historical) |
E384136
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Guy Ligier |
E1180621
|
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: Guy Ligier | Statement: [Ligier (historical), namedAfter, Guy Ligier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Ligier Context triple: [Ligier (historical), namedAfter, Guy Ligier]
-
A.
Guy Ligier
chosen
Guy Ligier was a French racing driver and entrepreneur best known for founding the Ligier Formula One team and sports car manufacturer.
-
B.
Pierre Salvadori
Pierre Salvadori is a French film director and screenwriter known for his witty, character-driven comedies and romantic dramas.
-
C.
Pierre Clerget
Pierre Clerget was a French engineer and aircraft engine designer known for developing several notable early aviation powerplants, including the Clerget rotary engines used during World War I.
-
D.
Robert Arnoux
Robert Arnoux was a French film and stage actor active in the early to mid-20th century, known for his character roles in numerous French productions.
-
E.
Christophe Ballard
Christophe Ballard was a prominent 17th-century French music printer and publisher, known for issuing major operatic and musical works in Paris.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93ddce4819086174b2549f5e12b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.