Triple
T2602823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lud Wray |
E58383
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wray |
E26900
|
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: Wray | Statement: [Lud Wray, familyName, Wray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wray Context triple: [Lud Wray, familyName, Wray]
-
A.
Wray
chosen
Wray is the surname of Fay Wray, the Canadian-American actress best known for her iconic role in the classic 1933 film "King Kong."
-
B.
Leagrave
Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
-
C.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
D.
Wrey
Wrey is a variant spelling of the surname Wray, which is of English origin.
-
E.
Bamford
Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83d6daa4819087ee111e648ce71d |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.