Triple

T6596408
Position Surface form Disambiguated ID Type / Status
Subject Lycée Pothier E148485 entity
Predicate hasNotableAlumni P51 FINISHED
Object Philippe Noiret E127375 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: Philippe Noiret | Statement: [Lycée Pothier, hasNotableAlumni, Philippe Noiret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Noiret
Context triple: [Lycée Pothier, hasNotableAlumni, Philippe Noiret]
  • A. Philippe Noiret chosen
    Philippe Noiret was a renowned French film and stage actor celebrated for his versatile performances in classics such as "Cinema Paradiso" and "Il Postino."
  • B. Michel Serrault
    Michel Serrault was a celebrated French actor known for his versatile performances in film, theater, and television, particularly his iconic role in "La Cage aux Folles."
  • C. Joseph Noiret
    Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
  • D. Michel Simon
    Michel Simon was a renowned Swiss-born French actor celebrated for his expressive character roles in classic European cinema from the 1920s through the 1960s.
  • E. Jean Gabin
    Jean Gabin was a legendary French film actor renowned for his roles in classic 1930s–1960s cinema and as an icon of poetic realism.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42fc9ec8190a6bb19010337d516 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.