Triple
T7127153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aiguille du Plan |
E166091
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Michel Payot |
E692541
|
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: Michel Payot | Statement: [Aiguille du Plan, firstAscentBy, Michel Payot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Payot Context triple: [Aiguille du Plan, firstAscentBy, Michel Payot]
-
A.
Michel Payot
chosen
Michel Payot was a French mountaineer known for participating in the pioneering ascent of major Alpine peaks in the Mont Blanc massif.
-
B.
Pierre Lacotte
Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
-
C.
Michel Pinseau
Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
-
D.
Jacques Bompard
Jacques Bompard is a French far-right politician known for his long tenure as mayor of Orange and his involvement with nationalist political movements.
-
E.
Michel Colombier
Michel Colombier was a French composer, arranger, and conductor known for his work in film scores, pop, and jazz, collaborating with major artists and contributing to numerous Hollywood soundtracks.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d4e916805881908496459dad525b8c |
completed | April 7, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:44 p.m.