Triple

T17126030
Position Surface form Disambiguated ID Type / Status
Subject Diane Simmons E415596 entity
Predicate hasRivalryWith P893 FINISHED
Object Joyce Kinney E207095 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: Joyce Kinney | Statement: [Diane Simmons, hasRivalryWith, Joyce Kinney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joyce Kinney
Context triple: [Diane Simmons, hasRivalryWith, Joyce Kinney]
  • A. Joyce Kinney chosen
    Joyce Kinney is a fictional news anchor character from the animated television series "Family Guy," where she works alongside Tom Tucker at the local TV station.
  • B. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • C. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • D. Molly Messick
    Molly Messick is an American audio producer and journalist known for her work in public radio and podcasting.
  • E. Marian Dunn
    Marian Dunn was the wife of Australian novelist and journalist Marcus Clarke, known for her connection to the prominent literary figure of colonial Australia.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c3be308190ab9972e79287218b completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:36 a.m.