Triple

T19905363
Position Surface form Disambiguated ID Type / Status
Subject Lemaire E478399 entity
Predicate hasNotableBearer P458 FINISHED
Object Philippe Lemaire 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: Philippe Lemaire | Statement: [Lemaire, hasNotableBearer, Philippe Lemaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Lemaire
Context triple: [Lemaire, hasNotableBearer, Philippe Lemaire]
  • A. Philippe Lemaire chosen
    Philippe Lemaire was a French film and stage actor active in the mid-20th century, known for his roles in numerous French dramas and comedies.
  • B. Philippe Joseph Henri Lemaire
    Philippe Joseph Henri Lemaire was a 19th-century French sculptor known for his religious and architectural works in Paris.
  • C. Jean-Marc Rochette
    Jean-Marc Rochette is a French comics artist best known for his work on the post-apocalyptic graphic novel series that inspired the film and TV franchise "Snowpiercer."
  • D. Philippe Forquet
    Philippe Forquet was a French actor and 1960s heartthrob best known for his romantic lead roles in films that paired him with prominent international actresses.
  • E. Patrick Baudry
    Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65945cc2081908224902d5f042d7a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.