Triple
T15092613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Foster |
E360457
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Roy Featherstone |
E1137651
|
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: Roy Featherstone | Statement: [Ray Foster, basedOn, Roy Featherstone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Featherstone Context triple: [Ray Foster, basedOn, Roy Featherstone]
-
A.
Roy Featherstone
chosen
Roy Featherstone is a mechanical engineer and roboticist best known for pioneering work in rigid-body dynamics and the development of efficient algorithms for simulating and controlling articulated robots.
-
B.
Ray Fensome
Ray Fensome is a British musician and guitarist best known as the former husband of television personality and singer Coleen Nolan.
-
C.
Noel Brailsford
Noel Brailsford is an individual best known as the founder of the publication or organization named Tribune.
-
D.
Anthony Bevan
Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
-
E.
Roy Skeggs
Roy Skeggs was a British film and television producer best known for revitalizing Hammer Film Productions in the 1970s and 1980s and steering the company into television and lower-budget horror projects.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e47b20819084145008474f47b7 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:04 a.m.