Triple
T14455947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Pretty Things (2002 film) |
E358459
|
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 (2002 film), producer, Tracey Seaward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracey Seaward Context triple: [Dirty Pretty Things (2002 film), 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.
Deirdre Beddoe
Deirdre Beddoe is a Welsh historian and academic known for her influential work on the history and representation of Welsh women.
-
E.
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."
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.