Triple
T14834283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregor Clegane |
E348786
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Ian Whyte |
E652293
|
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: Ian Whyte | Statement: [Gregor Clegane, portrayedBy, Ian Whyte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Whyte Context triple: [Gregor Clegane, portrayedBy, Ian Whyte]
-
A.
Ian Whyte
chosen
Ian Whyte is a British actor and former professional basketball player best known for his work as a creature performer in films and television, including roles in the Alien vs. Predator franchise and Game of Thrones.
-
B.
Ian Whyte
Ian Whyte was a Scottish conductor and composer best known for his influential work with major British orchestras and contributions to 20th-century classical music in the UK.
-
C.
Ian Weighill
Ian Weighill is a British former child actor best known for his role in the Disney fantasy film "Bedknobs and Broomsticks."
-
D.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
E.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded075af0881908fb35a9e7ee46749 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a5f38488190b441dd0b385024b1 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 1:52 a.m.