Triple
T10616475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Clary |
E276132
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ian Mackley |
E276132
|
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 Mackley | Statement: [Julian Clary, spouse, Ian Mackley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Mackley Context triple: [Julian Clary, spouse, Ian Mackley]
-
A.
Ian Mackley
chosen
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
B.
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.
-
C.
Craig McKay
Craig McKay is an American film editor best known for his acclaimed work on major films such as "The Silence of the Lambs."
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Will McCormack
Will McCormack is an American actor, writer, and director best known for co-writing the animated film "Toy Story 4" and co-directing the Oscar-winning short "If Anything Happens I Love You."
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6d76dc8190bd8d481fed3225d9 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de222baab081908e2e2b18f656dedb |
completed | April 14, 2026, 11:16 a.m. |
Created at: April 8, 2026, 7:33 p.m.