Triple

T10367913
Position Surface form Disambiguated ID Type / Status
Subject Dirty Pretty Things E244302 entity
Predicate producer P490 FINISHED
Object Tracey Seaward E247976 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: Tracey Seaward | Statement: [Dirty Pretty Things, producer, Tracey Seaward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracey Seaward
Context triple: [Dirty Pretty Things, producer, Tracey Seaward]
  • A. Tracey Seaward chosen
    Tracey Seaward is a British film producer known for her work on acclaimed films such as "The Queen" and collaborations with director Stephen Frears.
  • B. Laura Weymouth
    Laura Weymouth is a musician best known as a member of the new wave band Tom Tom Club.
  • C. Lorna Patterson
    Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
  • D. Alison Bagnall
    Alison Bagnall is an American filmmaker and actress best known for co-writing "Buffalo '66" and directing indie films such as "The Dish & the Spoon."
  • E. Tracey Fairaway
    Tracey Fairaway is an American actress best known for her role in the romantic comedy-drama film "Enough Said."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79546b078819089dec7628c95a681 completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, noon