Triple
T5163824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurley |
E116500
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Elizabeth Hurley |
E214704
|
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: Elizabeth Hurley | Statement: [Hurley, hasNotableBearer, Elizabeth Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Hurley Context triple: [Hurley, hasNotableBearer, Elizabeth Hurley]
-
A.
Elizabeth Hurley
chosen
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.
-
B.
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.
-
C.
Trudie Styler
Trudie Styler is an English actress, film producer, and environmental activist, known for her work in independent cinema and philanthropy.
-
D.
Natasha Richardson
Natasha Richardson was a British actress known for her work in film, television, and theatre, and as a member of the Redgrave acting family.
-
E.
Alison Steadman
Alison Steadman is an acclaimed English actress known for her versatile work in television, film, and theatre, including notable roles in Mike Leigh collaborations and classic literary adaptations.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7927a348819082ad531955cdf30d |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed933abd88190981cb16189685b8f |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.