Triple

T21263031
Position Surface form Disambiguated ID Type / Status
Subject Harold Gould E524051 entity
Predicate notableWork P4 FINISHED
Object The Feather and Father Gang NE NERFINISHED

How this triple was built (3 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: The Feather and Father Gang | Statement: [Harold Gould, notableWork, The Feather and Father Gang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Feather and Father Gang
Context triple: [Harold Gould, notableWork, The Feather and Father Gang]
  • A. The Feather Men
    The Feather Men is a controversial thriller novel by Sir Ranulph Fiennes that blends purported real-life events and fiction in a story about ex-SAS soldiers being targeted by assassins.
  • B. The Gangreen Gang
    The Gangreen Gang is a group of delinquent, green-skinned teenage hoodlums and recurring comic villains from the animated series "The Powerpuff Girls."
  • C. The Spikes Gang
    The Spikes Gang is a 1974 American Western film about three young cowboys who idolize an aging outlaw and are drawn into a life of crime with tragic consequences.
  • D. The Sunset Gang
    The Sunset Gang is a collection of interconnected short stories by Warren Adler that portrays the lives, loves, and challenges of elderly Jewish retirees in a Florida retirement community.
  • E. The Cat Gang
    The Cat Gang is a film featuring British actress Anne Heywood, known as one of her notable screen roles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Feather and Father Gang
Target entity description: The Feather and Father Gang is a 1970s American television crime-drama series featuring a con-artist daughter and her ex-con father who team up to solve cases using elaborate scams.
  • A. The Feather Men
    The Feather Men is a controversial thriller novel by Sir Ranulph Fiennes that blends purported real-life events and fiction in a story about ex-SAS soldiers being targeted by assassins.
  • B. The Gangreen Gang
    The Gangreen Gang is a group of delinquent, green-skinned teenage hoodlums and recurring comic villains from the animated series "The Powerpuff Girls."
  • C. The Spikes Gang
    The Spikes Gang is a 1974 American Western film about three young cowboys who idolize an aging outlaw and are drawn into a life of crime with tragic consequences.
  • D. The Sunset Gang
    The Sunset Gang is a collection of interconnected short stories by Warren Adler that portrays the lives, loves, and challenges of elderly Jewish retirees in a Florida retirement community.
  • E. The Cat Gang
    The Cat Gang is a film featuring British actress Anne Heywood, known as one of her notable screen roles.
  • F. None of above. chosen

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e9b2788190b834ba38367fb6c7 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.