Triple

T14534603
Position Surface form Disambiguated ID Type / Status
Subject Filmation E341006 entity
Predicate keyPerson P256 FINISHED
Object Lou Scheimer E1136732 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: Lou Scheimer | Statement: [Filmation, keyPerson, Lou Scheimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Scheimer
Context triple: [Filmation, keyPerson, Lou Scheimer]
  • A. Lou Scheimer chosen
    Lou Scheimer was an American animator, producer, and co-founder of the studio behind many classic Saturday-morning cartoons, including "He-Man and the Masters of the Universe" and "Fat Albert and the Cosby Kids."
  • B. Tom Schaul
    Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
  • C. Phil Stern
    Phil Stern is a character in Woody Allen's film "Café Society," serving as a powerful Hollywood talent agent who introduces his young nephew to the glamour and complexities of the movie industry.
  • D. Cliff Dorfman
    Cliff Dorfman is an American screenwriter and filmmaker best known for co-writing the acclaimed sports drama film "Warrior" (2011).
  • E. Alan Siegel
    Alan Siegel is a film producer best known for his long-running collaboration with actor Gerard Butler on action and thriller movies.
  • 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_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7cfd9d08190b5b95f6dc0a08537 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 1:22 a.m.