Triple

T15674642
Position Surface form Disambiguated ID Type / Status
Subject Frédéric Talgorn E377407 entity
Predicate notableWork P4 FINISHED
Object Le Brasier
Le Brasier is a film score composed by French composer Frédéric Talgorn, recognized as one of his notable works in cinema music.
 E1171300 NE FINISHED

How this triple was built (4 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: Le Brasier | Statement: [Frédéric Talgorn, notableWork, Le Brasier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Brasier
Context triple: [Frédéric Talgorn, notableWork, Le Brasier]
  • A. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Canebière
    Canebière is the historic main thoroughfare of Marseille, France, running from the Old Port into the city and long known as a bustling commercial and social hub.
  • D. Brévands
    Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
  • E. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Le Brasier
Triple: [Frédéric Talgorn, notableWork, Le Brasier]
Generated description
Le Brasier is a film score composed by French composer Frédéric Talgorn, recognized as one of his notable works in cinema music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Brasier
Target entity description: Le Brasier is a film score composed by French composer Frédéric Talgorn, recognized as one of his notable works in cinema music.
  • A. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Canebière
    Canebière is the historic main thoroughfare of Marseille, France, running from the Old Port into the city and long known as a bustling commercial and social hub.
  • D. Brévands
    Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
  • E. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • F. None of above. chosen

Provenance (5 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.