Triple
T15355289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Aniston |
E367155
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nancy Dow |
—
|
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: Nancy Dow | Statement: [John Aniston, spouse, Nancy Dow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Dow Context triple: [John Aniston, spouse, Nancy Dow]
-
A.
Nancy Dow
chosen
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
B.
Nancy Deale
Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
-
C.
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
D.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
-
E.
Nancy Fallon
Nancy Fallon is the teenage protagonist of the film "Teenage Rebel," whose struggles with family and identity drive the story’s emotional conflict.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
Created at: April 10, 2026, 3:18 a.m.