Triple

T10811445
Position Surface form Disambiguated ID Type / Status
Subject The Wolf Man E255109 entity
Predicate editor P1954 FINISHED
Object Ted J. Kent E418610 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: Ted J. Kent | Statement: [The Wolf Man, editor, Ted J. Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted J. Kent
Context triple: [The Wolf Man, editor, Ted J. Kent]
  • A. Ted J. Kent chosen
    Ted J. Kent was an American film editor known for his work on numerous Hollywood productions, particularly in the mid-20th century.
  • B. Kent L. Wakeford
    Kent L. Wakeford was an American cinematographer known for his work on influential 1970s films, particularly in collaboration with director Martin Scorsese.
  • C. Robin R. Yount
    Robin R. Yount is a Hall of Fame former Major League Baseball shortstop and center fielder who spent his entire 20-year career with the Milwaukee Brewers and won two American League MVP awards.
  • D. Leith D. Kent
    Leith D. Kent is the individual after whom the Kent mango cultivar was named, recognized for his association with the development or identification of this popular mango variety.
  • E. Erle C. Kenton
    Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15499158481908391f411420b19fc completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:18 p.m.