Triple
T14079636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Peyton |
E338831
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kevin Peyton |
E891993
|
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: Kevin Peyton | Statement: [Jackie Peyton, spouse, Kevin Peyton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Peyton Context triple: [Jackie Peyton, spouse, Kevin Peyton]
-
A.
Kevin Peyton
chosen
Kevin Peyton is a fictional character portrayed by actor Dominic Fumusa, best known from the television series "Nurse Jackie."
-
B.
Kevin Hill
Kevin Hill is an American legal drama television series centered on a high-powered New York attorney whose life changes when he becomes the guardian of his cousin's baby.
-
C.
Kevin Hill
Kevin Hill is a key executive associated with Seven Bucks Productions, the multimedia production company co-founded by Dwayne "The Rock" Johnson.
-
D.
Kevin Hill
Kevin Hill is a former English footballer best known as a long-serving midfielder and club stalwart for Torquay United.
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06cddcc81909a1ba268f667dc1d |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 9, 2026, 10:21 p.m.