Triple

T9948031
Position Surface form Disambiguated ID Type / Status
Subject Channel 5 News team in Family Guy E195254 entity
Predicate hasMember P10 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: [Channel 5 News team in Family Guy, hasMember, Joyce Kinney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joyce Kinney
Context triple: [Channel 5 News team in Family Guy, hasMember, 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. Joyce McClure
    Joyce McClure is known as the spouse of Andy Hertzfeld, a prominent software engineer and key member of the original Apple Macintosh development team.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269e28f0081908244f9f469b15ec1 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:45 p.m.