Triple
T20384696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Boulting |
E497929
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Bray |
—
|
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: Bray | Statement: [Roy Boulting, placeOfBirth, Bray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bray Context triple: [Roy Boulting, placeOfBirth, Bray]
-
A.
Bray
Bray is a picturesque village on the River Thames in Berkshire, England, noted for its historic charm and renowned fine-dining restaurants.
-
B.
Bray
chosen
Bray is a coastal town and popular seaside resort in eastern Ireland known for its promenade, beach, and proximity to Dublin.
-
C.
Orry
Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
-
D.
Henley
Henley is a UK parliamentary constituency in Oxfordshire, best known for its affluent riverside towns and association with high-profile Conservative politicians.
-
E.
Henley
Henley is a small, affluent waterfront suburb on Sydney’s lower north shore, known for its scenic views of the Parramatta River and proximity to the city.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.