Triple
T12811377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Stuart |
E306277
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Cindy Cash |
E602321
|
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: Cindy Cash | Statement: [Marty Stuart, spouse, Cindy Cash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Cash Context triple: [Marty Stuart, spouse, Cindy Cash]
-
A.
Cindy Cash
chosen
Cindy Cash is an American singer and author best known as one of the daughters of country music legend Johnny Cash.
-
B.
Cindy Morgan
Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
-
C.
Cindy Green
Cindy Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a hopeful, loving woman who longs to become a mother.
-
D.
Cindy Snow
Cindy Snow is a bubbly, somewhat naive nurse who serves as one of the central roommates on the classic American sitcom "Three's Company."
-
E.
Cindy Campbell
Cindy Campbell is the bumbling yet determined heroine of the Scary Movie parody film series, known for spoofing classic horror-movie “final girl” tropes.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e817598819080fdd61e9d61236e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b95e4dc8190adc0bf9154971028 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:31 p.m.