Triple
T19622224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurst |
E471039
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Paul Hurst |
—
|
NE NERFINISHED |
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: Paul Hurst | Statement: [Hurst, hasNotableBearer, Paul Hurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Hurst Context triple: [Hurst, hasNotableBearer, Paul Hurst]
-
A.
Paul Hurst
chosen
Paul Hurst was an American character actor and director known for his prolific appearances in Hollywood films from the silent era through the 1950s, often playing tough or comedic supporting roles.
-
B.
Charlie Hodgson
Charlie Hodgson is a former England international rugby union fly-half renowned as one of the Premiership’s most prolific points scorers.
-
C.
Tim Ream
Tim Ream is an American professional soccer player and defender who has represented the United States national team and played in England’s Premier League.
-
D.
Douglas Shearer
Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
-
E.
Mark Hughes
Mark Hughes was an American entrepreneur best known as the founder of the global nutrition and weight-management company Herbalife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e7949081908a89414ef899fa20 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.