Triple
T21502985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Pietersen |
E530525
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kevin |
—
|
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: Kevin | Statement: [Kevin Pietersen, givenName, Kevin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Context triple: [Kevin Pietersen, givenName, Kevin]
-
A.
Kevin
Kevin is a recurring character in the animated series "Ed, Edd n Eddy," known as the neighborhood jock and frequent antagonist to the Eds.
-
B.
Kevin
chosen
Kevin is a common masculine given name of Irish origin, meaning "handsome" or "kind."
-
C.
Kevin
Kevin is the given first name of American actor and former professional athlete Chuck Connors.
-
D.
Kevin
Kevin is a silent, cannibalistic serial killer and devoutly religious assassin from Frank Miller's Sin City graphic novel series.
-
E.
Kevin
Kevin is a character from the sitcom "Everybody Loves Raymond," known as one of Ray Barone’s laid-back, humorous friends.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5deb388190a89a1f94285b7e55 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.