Triple

T8639622
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Boam E204610 entity
Predicate wroteScreenplayFor P15305 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: [Jeffrey Boam, wroteScreenplayFor, Funny Farm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funny Farm
Context triple: [Jeffrey Boam, wroteScreenplayFor, 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 seminal painting by Spanish artist Joan Miró that marks his transition from detailed realism to a more symbolic, surreal style, depicting his family’s farmhouse in Catalonia.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb10f0881908db334cd090d3231 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.