Triple

T8484128
Position Surface form Disambiguated ID Type / Status
Subject A Charlie Brown Christmas E200791 entity
Predicate director P255 FINISHED
Object Bill Melendez E736338 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: Bill Melendez | Statement: [A Charlie Brown Christmas, director, Bill Melendez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Melendez
Context triple: [A Charlie Brown Christmas, director, Bill Melendez]
  • A. Bill Melendez chosen
    Bill Melendez was a Mexican-American animator, director, and producer best known for bringing the Peanuts comic strip to life in animated television specials and films.
  • B. Waddy Wachtel
    Waddy Wachtel is an American guitarist, songwriter, and record producer best known for his prolific session work and collaborations with major rock and pop artists since the 1970s.
  • C. Mark Wolper
    Mark Wolper is a television and film producer best known for his work on various entertainment and game shows, including serving as an executive producer on "Funny You Should Ask."
  • D. Hal Jacobs
    Hal Jacobs is one of the children of Irwin M. Jacobs, the American engineer and co-founder of Qualcomm.
  • E. Norman I. Badler
    Norman I. Badler is an American computer scientist known for his pioneering work in computer graphics, human modeling, and animation, and for his long tenure as a professor at the University of Pennsylvania.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de95e3081908277c65598f3884a completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.