Triple

T20297173
Position Surface form Disambiguated ID Type / Status
Subject Jeannot Szwarc E505380 entity
Predicate givenName P17 FINISHED
Object Jeannot 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: Jeannot | Statement: [Jeannot Szwarc, givenName, Jeannot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeannot
Context triple: [Jeannot Szwarc, givenName, Jeannot]
  • A. Jeannot chosen
    Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
  • B. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • C. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • D. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • E. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677095fb481909806214da4002b59 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.