Triple
T7436237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quest for Fire |
E171622
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Philippe Sarde |
E854623
|
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: Philippe Sarde | Statement: [Quest for Fire, musicBy, Philippe Sarde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Sarde Context triple: [Quest for Fire, musicBy, Philippe Sarde]
-
A.
Philippe Sarde
chosen
Philippe Sarde is a French composer best known for his prolific and acclaimed film scores across European and international cinema since the 1970s.
-
B.
Jacques Villeglé
Jacques Villeglé was a French artist best known for his torn poster collages that transformed urban street advertisements into politically and socially charged works of art.
-
C.
Pierre Bossan
Pierre Bossan was a 19th-century French architect best known for designing the monumental Basilica of Notre-Dame de Fourvière in Lyon.
-
D.
Pierre Lacotte
Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
-
E.
Daniel Pomarède
Daniel Pomarède is a French astrophysicist known for his work in cosmography and for helping map and characterize large-scale structures of the universe, including major galaxy superclusters.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7941d893c81909f3b3bcf827e796d |
completed | April 9, 2026, 11:57 a.m. |
Created at: March 27, 2026, 3:13 p.m.