Triple
T7401429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Dennis |
E170756
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Claire Skinner |
E611292
|
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: Claire Skinner | Statement: [Hugh Dennis, spouse, Claire Skinner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Skinner Context triple: [Hugh Dennis, spouse, Claire Skinner]
-
A.
Claire Skinner
chosen
Claire Skinner is an English actress best known for her work in film, television, and theatre, including her role in the British sitcom "Outnumbered."
-
B.
Claire Simpson
Claire Simpson is an acclaimed British film editor known for her work on major feature films, including the historical drama "The Last Duel."
-
C.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
D.
Claire Phillips
Claire Phillips is a compassionate social worker and the former girlfriend of Bill Murray's character in the 1988 Christmas comedy film "Scrooged."
-
E.
Claire Brialey
Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24f6b7c81908cb61395239d03a0 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ee52fd48190adebb6ae555663a4 |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 3:10 p.m.