Triple

T11498885
Position Surface form Disambiguated ID Type / Status
Subject Mia Toretto E272612 entity
Predicate hasChild P369 FINISHED
Object Jack O’Conner E928245 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: Jack O’Conner | Statement: [Mia Toretto, hasChild, Jack O’Conner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack O’Conner
Context triple: [Mia Toretto, hasChild, Jack O’Conner]
  • A. Jack O'Conner chosen
    Jack O'Conner is a minor character in the Fast & Furious film franchise, known as the young son of protagonist Brian O'Conner and Mia Toretto.
  • B. Charlie O’Connell
    Charlie O’Connell is an American actor and television personality known for roles in film and TV as well as for appearing on reality shows like "The Bachelor."
  • C. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • D. Jay O’Connor
    Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
  • E. Ray O’Rourke
    Ray O’Rourke is an Irish-born British businessman and engineer best known as the founder and long-time leader of the international construction and engineering group Laing O’Rourke.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624d666c081908253cea4e2da1a4a completed April 20, 2026, 1:06 p.m.
Created at: April 8, 2026, 9:36 p.m.