Triple

T8244596
Position Surface form Disambiguated ID Type / Status
Subject Cat's Eye (1985 film) E192818 entity
Predicate stars P1956 FINISHED
Object Alan King E398004 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: Alan King | Statement: [Cat's Eye (1985 film), stars, Alan King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan King
Context triple: [Cat's Eye (1985 film), stars, Alan King]
  • A. Alan King chosen
    Alan King was an American comedian and character actor known for his sharp observational humor and frequent film and television roles from the 1950s through the 1990s.
  • B. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • C. Ed King
    Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
  • D. Donald King
    Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
  • E. Jonathan King
    Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78711f5081909c2f357334491a07 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd352b1a288190bd13ef84bef7fa1c completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.