Triple
T20403172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maud Adams |
E500389
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Roy Adams |
—
|
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: Roy Adams | Statement: [Maud Adams, spouse, Roy Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Adams Context triple: [Maud Adams, spouse, Roy Adams]
-
A.
Roy Adams
chosen
Roy Adams is known primarily as the husband of Swedish actress and former Bond girl Maud Adams.
-
B.
Charles Ainley
Charles Ainley is an individual notable enough to be recognized as a prominent bearer of the surname Ainley.
-
C.
Pat Collinge
Pat Collinge is the commonly used name of Patricia Collinge, an Irish-born American actress and writer known for her work on stage and in classic films.
-
D.
Michael Elphick
Michael Elphick was an English actor known for his rugged, working-class roles in British film and television, including notable appearances in series like "Boon" and various acclaimed dramas.
-
E.
Paul Kemp
Paul Kemp is the hard-drinking, disillusioned American journalist who serves as the protagonist and narrator of Hunter S. Thompson’s novel (and its film adaptation) "The Rum Diary."
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.