Triple

T18139967
Position Surface form Disambiguated ID Type / Status
Subject Samba E434234 entity
Predicate castMember P1668 FINISHED
Object Tahar Rahim 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: Tahar Rahim | Statement: [Samba, castMember, Tahar Rahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tahar Rahim
Context triple: [Samba, castMember, Tahar Rahim]
  • A. Tahar Rahim chosen
    Tahar Rahim is a French actor acclaimed for his intense, nuanced performances in films such as "A Prophet" and various international productions.
  • B. Omar Sy
    Omar Sy is a French actor and comedian best known internationally for his breakout role in the film "The Intouchables" and subsequent work in movies like "Jurassic World" and the series "Lupin."
  • C. Jamel Debbouze
    Jamel Debbouze is a French-Moroccan comedian and actor known for his energetic stand-up performances and prominent roles in popular French films such as "Amélie" and "Asterix & Obelix: Mission Cleopatra."
  • D. Saïd Taghmaoui
    Saïd Taghmaoui is a French-American actor and screenwriter known for his breakout role in the film "La Haine" and numerous international performances in both European and Hollywood productions.
  • E. Elyes Gabel
    Elyes Gabel is a British actor known for roles in series such as "Game of Thrones," "Scorpion," and various UK television dramas.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.