Triple
T20386733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Pegg |
E497978
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Maureen McCann |
—
|
NE NERFINISHED |
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: Maureen McCann | Statement: [Simon Pegg, spouse, Maureen McCann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen McCann Context triple: [Simon Pegg, spouse, Maureen McCann]
-
A.
Maureen McCann
chosen
Maureen McCann is the wife of English actor, comedian, and writer Simon Pegg.
-
B.
Penni Sweeney
Penni Sweeney is best known as the wife of American actor and director Richard Crenna.
-
C.
Claire McCarthy
Claire McCarthy is an Australian filmmaker and screenwriter known for directing visually rich, character-driven dramas such as the 2018 adaptation of "Ophelia."
-
D.
Siobhan McKenna
Siobhan McKenna was an acclaimed Irish stage and film actress renowned for her powerful performances in both English and Irish-language productions.
-
E.
Mary Corrigan
Mary Corrigan is known as the wife of British-born American semiconductor executive Wilfred Corrigan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790bcef481909453d19c846ab420 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.