Triple
T18288002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Stander |
E438031
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Diana Lewis |
—
|
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: Diana Lewis | Statement: [Lionel Stander, spouse, Diana Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Lewis Context triple: [Lionel Stander, spouse, Diana Lewis]
-
A.
Diana Lewis
chosen
Diana Lewis was an American film actress best known for her work in the late 1930s and 1940s and for being married to actor William Powell.
-
B.
Diana Watts
Diana Watts is the troubled high-school teacher protagonist of the 2013 drama film "A Teacher," whose inappropriate relationship with a student drives the film’s psychological and moral tension.
-
C.
Diana Matheson
Diana Matheson is a retired Canadian midfielder best known for scoring the bronze medal–winning goal at the 2012 London Olympics and being a longtime standout for the Canada women’s national soccer team.
-
D.
Beth Dawes
Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
-
E.
Karen Lewis
Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fc49b88190bd5b562e0a959e9d |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.