Triple

T12976738
Position Surface form Disambiguated ID Type / Status
Subject Fox Kids E321543 entity
Predicate developedBy P73 FINISHED
Object Haim Saban E766572 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: Haim Saban | Statement: [Fox Kids, developedBy, Haim Saban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haim Saban
Context triple: [Fox Kids, developedBy, Haim Saban]
  • A. Haim Saban chosen
    Haim Saban is an Israeli-American media mogul, investor, and philanthropist best known for producing the Power Rangers franchise and founding Saban Entertainment.
  • B. Joe Mimran
    Joe Mimran is a Canadian fashion designer and entrepreneur best known for creating influential lifestyle brands such as Club Monaco and Joe Fresh.
  • C. David Mimran
    David Mimran is a film producer and businessman known for financing and producing independent and genre films, often through his involvement with Mimran Schur Pictures.
  • D. Mario F. Kassar
    Mario F. Kassar is a Lebanese-American film producer best known for co-founding Carolco Pictures and producing major action franchises such as the Terminator and Rambo series.
  • E. Amir Arison
    Amir Arison is an American actor best known for his role as FBI cyber expert Aram Mojtabai on the television series "The Blacklist."
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f0315c8190aae5908ba65d5867 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:38 p.m.