Triple
T16008076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Lee |
E388268
|
entity |
| Predicate | hasRoleIn |
P161
|
FINISHED |
| Object | Trophy Wife |
E150913
|
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: Trophy Wife | Statement: [Ryan Lee, hasRoleIn, Trophy Wife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trophy Wife Context triple: [Ryan Lee, hasRoleIn, Trophy Wife]
-
A.
Trophy Wife
chosen
Trophy Wife is an American television sitcom that follows a former party girl adjusting to life as the third wife in a complicated blended family.
-
B.
Meet the Wife
Meet the Wife is a British television sitcom best known for starring Thora Hird as a domineering, sharp-tongued housewife.
-
C.
The Ex-Wife
The Ex-Wife is a British psychological thriller television series in which Celine Buckens stars as a woman whose seemingly perfect life unravels amid obsession, jealousy, and marital secrets.
-
D.
Run for Your Wife
Run for Your Wife is a popular British stage farce by Ray Cooney about a London taxi driver juggling two wives in different parts of the city.
-
E.
My Wife
"My Wife" is a comedic track by The Who from their 1971 album *Who's Next*, written and sung by bassist John Entwistle.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf22db3481909141ddef151d0341 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.