Triple

T10226010
Position Surface form Disambiguated ID Type / Status
Subject Taj Monroe Tallarico E243205 entity
Predicate mother P120 FINISHED
Object Teresa Barrick E1006524 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: Teresa Barrick | Statement: [Taj Monroe Tallarico, mother, Teresa Barrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teresa Barrick
Context triple: [Taj Monroe Tallarico, mother, Teresa Barrick]
  • A. Teresa Barrick chosen
    Teresa Barrick is an American fashion designer best known for her long-term marriage to Aerosmith frontman Steven Tyler.
  • B. Teresa Edwards
    Teresa Edwards is a legendary American basketball player and four-time Olympic gold medalist widely regarded as one of the greatest in women’s basketball history.
  • C. Teresa Tucker-Davies
    Teresa Tucker-Davies is a film producer best known for her work on the 2003 family adventure movie "Holes."
  • D. Charmaine Hollingsworth
    Charmaine Hollingsworth is a recurring character on the sitcom "The Golden Girls," known as Blanche Devereaux’s sister who often highlights family tensions and contrasts with Blanche’s personality.
  • E. Sherry Jackson
    Sherry Jackson is an American actress best known for her work as a child and young adult performer in 1950s and 1960s film and television.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6a52daf1c81909c586e470a998073 completed May 3, 2026, 1:30 a.m.
Created at: April 6, 2026, 11:17 a.m.