Triple

T4560066
Position Surface form Disambiguated ID Type / Status
Subject I, Tonya E120570 entity
Predicate producer P490 FINISHED
Object Tom Ackerley E452280 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: Tom Ackerley | Statement: [I, Tonya, producer, Tom Ackerley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Ackerley
Context triple: [I, Tonya, producer, Tom Ackerley]
  • A. Tom Ackerley chosen
    Tom Ackerley is a British film producer and former assistant director, best known as Margot Robbie’s husband and co-founder of the production company LuckyChap Entertainment.
  • B. Alec Busch
    Alec Busch is an individual notable enough to be recognized as a bearer of the surname Busch, though specific widely known public details about him are not readily available.
  • C. Ben Cafferty
    Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
  • D. Alec Sharp
    Alec Sharp is a British actor known for his work in film, television, and theatre.
  • E. Tony Fitzpatrick
    Tony Fitzpatrick is a former Scottish footballer and manager best known for his long association with St Mirren, where he became a club legend as a player and later served as manager and chief executive.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3aa3b9081908984777207f4040e completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.