Triple
T21360059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Kessler |
E526748
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sam Stone |
—
|
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: Sam Stone | Statement: [Sandy Kessler, spouse, Sam Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Stone Context triple: [Sandy Kessler, spouse, Sam Stone]
-
A.
Sam Stone
Sam Stone is the wealthy, selfish, and unscrupulous businessman who serves as the central comic villain in the dark comedy film "Ruthless People."
-
B.
Sam Stone
"Sam Stone" is a poignant folk song by John Prine that tells the tragic story of a Vietnam War veteran’s struggle with addiction and its impact on his family.
-
C.
Sam Stone
chosen
Sam Stone is the spouse of Barbara Stone, known primarily in relation to her.
-
D.
Sam "Serious" Stone
Sam "Serious" Stone is a wisecracking, heavily armed action hero who battles overwhelming hordes of aliens and monsters in the fast-paced Serious Sam first-person shooter games.
-
E.
Tommy Waite
Tommy Waite is an Irish former professional boxer known for competing in the bantamweight and featherweight divisions.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:07 p.m.