Triple
T13797249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon (film) |
E331548
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Trudie Styler |
E430623
|
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: Trudie Styler | Statement: [Moon (film), producer, Trudie Styler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trudie Styler Context triple: [Moon (film), producer, Trudie Styler]
-
A.
Trudie Styler
chosen
Trudie Styler is an English actress, film producer, and environmental activist, known for her work in independent cinema and philanthropy.
-
B.
Elizabeth Hurley
Elizabeth Hurley is an English actress, model, and businesswoman best known for her roles in films like "Austin Powers: International Man of Mystery" and for her work as a fashion icon.
-
C.
Lily Cole
Lily Cole is an English model and actress known for her distinctive look and roles in films such as "The Imaginarium of Doctor Parnassus."
-
D.
Kate Moss
Kate Moss is a British supermodel renowned for her waifish figure, influential role in 1990s fashion, and long-standing impact on the global modeling industry.
-
E.
Helen Bamber
Helen Bamber was a British psychotherapist and human rights activist renowned for her pioneering work with survivors of torture and extreme human cruelty.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.