Triple

T23061959
Position Surface form Disambiguated ID Type / Status
Subject Prix Lumières for Best Actor E574926 entity
Predicate hasNotableRecipient P108 FINISHED
Object Reda Kateb 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: Reda Kateb | Statement: [Prix Lumières for Best Actor, hasNotableRecipient, Reda Kateb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reda Kateb
Context triple: [Prix Lumières for Best Actor, hasNotableRecipient, Reda Kateb]
  • A. Reda Kateb chosen
    Reda Kateb is a French actor known for his intense, nuanced performances in both French and international films, including acclaimed roles in works like "A Prophet" and "Zero Dark Thirty."
  • B. Khaled Toukan
    Khaled Toukan is a prominent Jordanian nuclear physicist and politician who has served in key ministerial and scientific leadership roles in Jordan.
  • C. Ousama Rawi
    Ousama Rawi is a cinematographer known for his work on films such as the historical war drama "Zulu Dawn."
  • D. Hisham Tawfiq
    Hisham Tawfiq is an American actor best known for his role as Dembe Zuma on the television series "The Blacklist."
  • E. Luttif Afif
    Luttif Afif was a Palestinian militant best known as one of the leaders of the 1972 Munich Olympics hostage-taking and massacre.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a0c3c881909f137ad511c216ac completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.