Triple
T15437279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aria |
E369796
|
entity |
| Predicate | starring |
P1507
|
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: [Aria, starring, Elizabeth Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Hurley Context triple: [Aria, starring, 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.
Connie Fisher
Connie Fisher is a Welsh singer and actress best known for winning the BBC talent show "How Do You Solve a Problem Like Maria?" and subsequently starring in the West End revival of The Sound of Music.
-
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.
Trudie Styler
Trudie Styler is an English actress, film producer, and environmental activist, known for her work in independent cinema and philanthropy.
-
E.
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.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a7d44481909a26b5cc331a3259 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.