Triple
T12989199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsieur N. |
E321852
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Bruno Coulais |
E634207
|
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: Bruno Coulais | Statement: [Monsieur N., musicBy, Bruno Coulais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Coulais Context triple: [Monsieur N., musicBy, Bruno Coulais]
-
A.
Bruno Coulais
chosen
Bruno Coulais is a French composer best known for his atmospheric and innovative film scores, particularly in European cinema and animation.
-
B.
Philippe Rousselot
Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
-
C.
Paul Tortelier
Paul Tortelier was a renowned French cellist and pedagogue celebrated for his expressive performances and influential teaching career.
-
D.
Jean-Marc Mormeck
Jean-Marc Mormeck is a French former professional boxer and multiple-time cruiserweight world champion known for his powerful, pressure-fighting style.
-
E.
Nicolas Dufourcq
Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f942588190b69a3067d5145182 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.