Triple

T14479592
Position Surface form Disambiguated ID Type / Status
Subject Little Fockers E359063 entity
Predicate character P662 FINISHED
Object Dina Byrnes E1062587 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: Dina Byrnes | Statement: [Little Fockers, character, Dina Byrnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dina Byrnes
Context triple: [Little Fockers, character, Dina Byrnes]
  • A. Dina Byrnes chosen
    Dina Byrnes is a character in the comedy film "Meet the Parents," portrayed as the warm but sharp-witted wife of Jack Byrnes and mother of Pam.
  • B. Lindsay Roy
    Lindsay Roy is a Scottish Labour politician and former Member of Parliament who represented the Glenrothes constituency in the UK Parliament.
  • C. Jodie Harrison
    Jodie Harrison is an Australian Labor Party politician who serves as a minister in the New South Wales government.
  • D. Kristen Dohring
    Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
  • E. Jessica Keenan Wynn
    Jessica Keenan Wynn is an American actress and singer best known for her work in musical theatre and for playing the younger version of Tanya in the film "Mamma Mia! Here We Go Again."
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3e32fc8190822aeb633b60af6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:20 a.m.