Triple

T14527747
Position Surface form Disambiguated ID Type / Status
Subject I'll Make a Man Out of You E340822 entity
Predicate filmDirector P255 FINISHED
Object Tony Bancroft E350735 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: Tony Bancroft | Statement: [I'll Make a Man Out of You, filmDirector, Tony Bancroft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Bancroft
Context triple: [I'll Make a Man Out of You, filmDirector, Tony Bancroft]
  • A. Tony Bancroft chosen
    Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
  • B. Tom Bancroft
    Tom Bancroft is an American animator, illustrator, and character designer best known for his work on Disney films such as "Mulan" and "The Lion King."
  • C. Ray Deakin
    Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
  • D. Rich Buckler
    Rich Buckler was an American comic book artist best known for his work at Marvel and DC Comics, including notable runs on titles like Fantastic Four and Deathlok.
  • E. Alan Baker
    Alan Baker is the charming, carefree bachelor protagonist of Neil Simon's comedy "Come Blow Your Horn," whose lifestyle and relationships drive the play's central conflicts and humor.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea051bc608190ad4d516c5e7bca43 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d196d88190a8fa54468b2de1bb completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 1:22 a.m.