Triple
T10945058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Wray |
E258572
|
entity |
| Predicate | hasFamilyName |
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: [Fay Wray, hasFamilyName, Wray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wray Context triple: [Fay Wray, hasFamilyName, 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.
Wray
Wray is a small rural village in Lancashire, England, known for its historic stone buildings and annual scarecrow festival.
-
C.
Wilford
Wilford is a suburban area of Nottingham, England, situated south of the city centre by the River Trent.
-
D.
Wilford
Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
-
E.
Leagrave
Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770e9a89081908979efd1d9e6af66 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c3c885081908edcece772b2e759 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.