Triple

T6439387
Position Surface form Disambiguated ID Type / Status
Subject "Stars" (Les Misérables musical) E138178 entity
Predicate lyricist P1360 FINISHED
Object Jean-Marc Natel E632159 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: Jean-Marc Natel | Statement: ["Stars" (Les Misérables musical), lyricist, Jean-Marc Natel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Marc Natel
Context triple: ["Stars" (Les Misérables musical), lyricist, Jean-Marc Natel]
  • A. Jean-Marc Natel chosen
    Jean-Marc Natel was a French lyricist best known for co-writing the original French lyrics that inspired the song "I Dreamed a Dream" from the musical Les Misérables.
  • B. Jean-Philippe Nault
    Jean-Philippe Nault is a French Roman Catholic prelate serving as the bishop of the Diocese of Nice.
  • C. Stéphane Préfontaine
    Stéphane Préfontaine is a Canadian former middle-distance runner best known for serving as one of the final torchbearers who lit the Olympic cauldron at the 1976 Montreal Summer Olympics.
  • D. Éric Jalton
    Éric Jalton is a Guadeloupean politician who serves as the long-time mayor of Les Abymes, one of the largest communes in the French Caribbean.
  • E. Philippe Martin
    Philippe Martin is a French film producer known for his work on acclaimed European cinema.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06967241c8190965bac395adf2d03 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a4282ac8190aa641d466763b786 completed March 29, 2026, 3:19 a.m.
Created at: March 22, 2026, 4:45 p.m.