Triple

T19518436
Position Surface form Disambiguated ID Type / Status
Subject Michel Colombier E488337 entity
Predicate workedWith P398 FINISHED
Object Pierre Barouh NE NERFINISHED

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: Pierre Barouh | Statement: [Michel Colombier, workedWith, Pierre Barouh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Barouh
Context triple: [Michel Colombier, workedWith, Pierre Barouh]
  • A. Pierre Barouh chosen
    Pierre Barouh was a French actor, lyricist, and singer best known for writing the lyrics to the theme song of the film "A Man and a Woman" and for his contributions to popularizing bossa nova in France.
  • B. Léon Weill
    Léon Weill was a French politician and lawyer active in the late 19th and early 20th centuries.
  • C. Isidore Hochberg
    Isidore Hochberg, better known as Yip Harburg, was an American lyricist famed for writing the words to songs such as “Over the Rainbow” in The Wizard of Oz.
  • D. Anatole Dauman
    Anatole Dauman was a prominent French film producer known for backing influential European art-house and New Wave directors.
  • E. Bernard Zanville
    Bernard Zanville, better known by his stage name Dane Clark, was an American film and television actor prominent in the 1940s and 1950s, often cast as tough, working-class characters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359da24c81909a0fd165a0fc0e33 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.