Triple

T13384374
Position Surface form Disambiguated ID Type / Status
Subject Lost River E319401 entity
Predicate castMember P1668 FINISHED
Object Reda Kateb E1014561 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: Reda Kateb | Statement: [Lost River, castMember, Reda Kateb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reda Kateb
Context triple: [Lost River, castMember, 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. Hisham Tawfiq
    Hisham Tawfiq is an American actor best known for his role as Dembe Zuma on the television series "The Blacklist."
  • C. Luttif Afif
    Luttif Afif was a Palestinian militant best known as one of the leaders of the 1972 Munich Olympics hostage-taking and massacre.
  • D. Samir Amer
    Samir Amer is a notable individual recognized for bearing the surname Amer.
  • E. Shukri Ghanem
    Shukri Ghanem was a Libyan politician, economist, and former prime minister who played a prominent technocratic role in Muammar Gaddafi’s government before later defecting.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.