Triple

T18644388
Position Surface form Disambiguated ID Type / Status
Subject Animaniacs E455765 entity
Predicate hasSegment P3574 FINISHED
Object Goodfeathers
Goodfeathers is a recurring parody segment in the animated series Animaniacs that follows three New York City pigeons modeled after characters from the film Goodfellas.
 E1335194 NE FINISHED

How this triple was built (4 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: Goodfeathers | Statement: [Animaniacs, hasSegment, Goodfeathers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goodfeathers
Context triple: [Animaniacs, hasSegment, Goodfeathers]
  • A. Benefactors
    Benefactors is a 1984 play by Michael Frayn that explores the moral and personal complexities of urban redevelopment through the intertwined lives of two couples.
  • B. Goodwill
    Goodwill is the given name of Goodwill Zwelithini kaBhekuzulu, the late king of the Zulu nation in South Africa.
  • C. Happy to Give
    "Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
  • D. Bienfaisant
    Bienfaisant was a French naval vessel that took part in the 1760 Battle of the Restigouche during the Seven Years' War.
  • E. Loaves and Fishes
    Loaves and Fishes is Dorothy Day’s autobiographical account of her life, faith, and the founding and work of the Catholic Worker movement among the poor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Goodfeathers
Triple: [Animaniacs, hasSegment, Goodfeathers]
Generated description
Goodfeathers is a recurring parody segment in the animated series Animaniacs that follows three New York City pigeons modeled after characters from the film Goodfellas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goodfeathers
Target entity description: Goodfeathers is a recurring parody segment in the animated series Animaniacs that follows three New York City pigeons modeled after characters from the film Goodfellas.
  • A. Benefactors
    Benefactors is a 1984 play by Michael Frayn that explores the moral and personal complexities of urban redevelopment through the intertwined lives of two couples.
  • B. Goodwill
    Goodwill is the given name of Goodwill Zwelithini kaBhekuzulu, the late king of the Zulu nation in South Africa.
  • C. Happy to Give
    "Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
  • D. Bienfaisant
    Bienfaisant was a French naval vessel that took part in the 1760 Battle of the Restigouche during the Seven Years' War.
  • E. Loaves and Fishes
    Loaves and Fishes is Dorothy Day’s autobiographical account of her life, faith, and the founding and work of the Catholic Worker movement among the poor.
  • F. None of above. chosen

Provenance (5 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d865fc48190a11ed96ebfdca50d completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a051058f5788190b782a39feb7f6111 completed May 13, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0510fc0d1081908970c91357bb3444 completed May 14, 2026, 12:02 a.m.
Created at: April 10, 2026, 11:47 a.m.