Triple

T16633809
Position Surface form Disambiguated ID Type / Status
Subject Christopher Lambert E404146 entity
Predicate birthName P65 FINISHED
Object Christophe Guy Denis Lambert E1052420 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: Christophe Guy Denis Lambert | Statement: [Christopher Lambert, birthName, Christophe Guy Denis Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christophe Guy Denis Lambert
Context triple: [Christopher Lambert, birthName, Christophe Guy Denis Lambert]
  • A. Laurent Lucas
    Laurent Lucas is a French actor known for his intense performances in psychological dramas and thrillers, including prominent roles in contemporary French cinema.
  • B. Christophe Malavoy
    Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
  • C. Nicolas Lacombe
    Nicolas Lacombe is a French local politician who serves as the mayor of the town of Nérac in southwestern France.
  • D. Christophe Lambert chosen
    Christophe Lambert is a French-American actor best known for his roles in films such as "Highlander" and "Greystoke: The Legend of Tarzan, Lord of the Apes."
  • E. Philippe Denis
    Philippe Denis is a cinematographer best known for his work on the animated film "Megamind."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.