Triple
T8987485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hurley |
E214704
|
entity |
| Predicate | hasBusiness |
P21206
|
FINISHED |
| Object | Elizabeth Hurley Beach |
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 Beach | Statement: [Elizabeth Hurley, hasBusiness, Elizabeth Hurley Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Hurley Beach Context triple: [Elizabeth Hurley, hasBusiness, Elizabeth Hurley Beach]
-
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.
Marina Ogilvy
Marina Ogilvy is a British aristocrat known as the daughter of Princess Alexandra of Kent and a member of the extended British royal family.
-
C.
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.
-
D.
Tracey Seaward
Tracey Seaward is a British film producer known for her work on acclaimed films such as "The Queen" and collaborations with director Stephen Frears.
-
E.
Pippa Lee
Pippa Lee is the complex, introspective protagonist of Rebecca Miller’s novel and film, whose seemingly tranquil life unravels as she confronts her unconventional past and midlife crisis.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c155cc819087f1060454da38e5 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:04 p.m.