Triple

T12000431
Position Surface form Disambiguated ID Type / Status
Subject Edward S. Feldman E285643 entity
Predicate notableWork P4 FINISHED
Object Funny Farm E506693 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: Funny Farm | Statement: [Edward S. Feldman, notableWork, Funny Farm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funny Farm
Context triple: [Edward S. Feldman, notableWork, Funny Farm]
  • A. Funny Farm chosen
    Funny Farm is a 1988 American comedy film starring Chevy Chase as a sports writer who moves to a quirky small town in search of a quieter life, only to encounter a series of chaotic and humorous misadventures.
  • B. Kids’ Farm
    Kids’ Farm is a family-oriented exhibit at the National Zoo where children can interact with and learn about farm animals and agriculture.
  • C. Barnyard
    Barnyard is a 2006 animated comedy film featuring talking farm animals, produced by Nickelodeon Movies.
  • D. The Farm
    The Farm is a popular nickname for Stanford University, reflecting its origins on the former Palo Alto Stock Farm owned by the Stanford family.
  • E. The Farm
    The Farm is a notorious criminal stronghold and torture site in the fictional noir setting of Basin City from Frank Miller's "Sin City" series.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4729eb4a081909d93b3fc74509d86 completed May 1, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:46 p.m.