Triple

T19098165
Position Surface form Disambiguated ID Type / Status
Subject Divinidylle E467460 entity
Predicate track P17929 FINISHED
Object L’Incendie
L’Incendie is a French-language song by Vanessa Paradis from her 2007 pop album "Divinidylle."
 E1358218 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: L’Incendie | Statement: [Divinidylle, track, L’Incendie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L’Incendie
Context triple: [Divinidylle, track, L’Incendie]
  • A. Allumer le feu
    "Allumer le feu" is a popular rock song by French singer Johnny Hallyday, known as one of his signature anthems performed energetically in concert.
  • B. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • C. The Fire
    "The Fire" is a song by American rock band Papa Roach from their album *The Paramour Sessions*.
  • D. Il fuoco
    "Il fuoco" is a 1900 novel by Italian writer Gabriele D’Annunzio, renowned for its decadent style and its thinly veiled portrayal of his passionate affair with actress Eleonora Duse against the backdrop of fin-de-siècle Venice.
  • E. Le Feu
    Le Feu is a seminal anti-war novel by Henri Barbusse that vividly depicts the grim realities of French soldiers’ experiences in the trenches during World War I.
  • 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: L’Incendie
Triple: [Divinidylle, track, L’Incendie]
Generated description
L’Incendie is a French-language song by Vanessa Paradis from her 2007 pop album "Divinidylle."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L’Incendie
Target entity description: L’Incendie is a French-language song by Vanessa Paradis from her 2007 pop album "Divinidylle."
  • A. Allumer le feu
    "Allumer le feu" is a popular rock song by French singer Johnny Hallyday, known as one of his signature anthems performed energetically in concert.
  • B. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • C. The Fire
    "The Fire" is a song by American rock band Papa Roach from their album *The Paramour Sessions*.
  • D. Il fuoco
    "Il fuoco" is a 1900 novel by Italian writer Gabriele D’Annunzio, renowned for its decadent style and its thinly veiled portrayal of his passionate affair with actress Eleonora Duse against the backdrop of fin-de-siècle Venice.
  • E. Le Feu
    Le Feu is a seminal anti-war novel by Henri Barbusse that vividly depicts the grim realities of French soldiers’ experiences in the trenches during World War I.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd98a1d48190bb46127c0bbc2351 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcf14788190a75298641ba20e0e completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e10ae8188190a9dce95fa838ff7f completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.