Triple
T14244130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Petrie |
E353086
|
entity |
| Predicate | screenPartner |
P46690
|
FINISHED |
| Object | Buddy Sorrell |
E849432
|
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: Buddy Sorrell | Statement: [Laura Petrie, screenPartner, Buddy Sorrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddy Sorrell Context triple: [Laura Petrie, screenPartner, Buddy Sorrell]
-
A.
Buddy Sorrell
chosen
Buddy Sorrell is a wisecracking comedy writer and supporting character on the classic American sitcom "The Dick Van Dyke Show."
-
B.
Bernie Dodd
Bernie Dodd is a driven Broadway director in the film "The Country Girl," whose demanding methods and personal struggles shape the story’s central drama.
-
C.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
D.
Mack Rhoades
Mack Rhoades is a collegiate athletics administrator best known for serving as the athletic director at Baylor University, overseeing the Baylor Bears sports programs.
-
E.
Philip DeGuard
Philip DeGuard was an American animation background artist best known for his richly detailed and stylized work on classic Warner Bros. cartoons.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55008a5c8190b005a12df7ef2f75 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:08 a.m.