Triple
T14104611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Cover |
E339472
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Michel Colombier |
—
|
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: Michel Colombier | Statement: [Deep Cover, musicBy, Michel Colombier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Colombier Context triple: [Deep Cover, musicBy, Michel Colombier]
-
A.
Michel Colombier
chosen
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.
-
B.
Pierre Legoupil
Pierre Legoupil was a French naval officer or explorer after whom Cape Legoupil in Antarctica was named, reflecting his role in early polar exploration.
-
C.
Michel Bournat
Michel Bournat is a French politician who serves as the mayor of the commune of Gif-sur-Yvette in the Île-de-France region.
-
D.
Michel Payot
Michel Payot was a French mountaineer known for participating in the pioneering ascent of major Alpine peaks in the Mont Blanc massif.
-
E.
Michel Pinseau
Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 9, 2026, 10:22 p.m.