Triple
T8984902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Petty |
E214635
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dana York |
E214635
|
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: Dana York | Statement: [Tom Petty, spouse, Dana York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana York Context triple: [Tom Petty, spouse, Dana York]
-
A.
Dana York
chosen
Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
-
B.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
C.
Dana Barrett
Dana Barrett is a central character in the Ghostbusters franchise, known as a New York musician whose apartment becomes the focal point of supernatural disturbances involving the demonic entity Zuul.
-
D.
Deanna Dunagan
Deanna Dunagan is an American actress best known for her Tony Award–winning performance in the Broadway play "August: Osage County" and for her role in the horror film "The Visit."
-
E.
Deanna Dwyer
Deanna Dwyer is a pseudonym used by bestselling American suspense and horror author Dean Koontz early in his writing career.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ecc5188190a6fb4d5456893121 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05be6550081908d42bbae3c00cae3 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:03 p.m.