Triple

T8484129
Position Surface form Disambiguated ID Type / Status
Subject A Charlie Brown Christmas E200791 entity
Predicate producer P490 FINISHED
Object Lee Mendelson E200790 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: Lee Mendelson | Statement: [A Charlie Brown Christmas, producer, Lee Mendelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Mendelson
Context triple: [A Charlie Brown Christmas, producer, Lee Mendelson]
  • A. Lee Mendelson chosen
    Lee Mendelson was an American television producer best known for producing the Peanuts animated specials, including "A Charlie Brown Christmas."
  • B. David Foster
    David Foster is a Canadian musician and record producer renowned for crafting numerous pop and adult contemporary hits for major artists across several decades.
  • C. David Gelb
    David Gelb is an American filmmaker and producer best known for creating and directing the documentary "Jiro Dreams of Sushi" and for developing the Netflix series "Chef's Table."
  • D. Dave Silvestri
    Dave Silvestri is a former professional baseball infielder who played in Major League Baseball during the 1990s.
  • E. Ron Goodwin
    Ron Goodwin was a British composer and conductor best known for his rousing film scores for war and adventure movies in the mid-20th century.
  • 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.