Triple
T19091703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Burns |
E467301
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Kevin Burns |
—
|
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 Burns | Statement: [Kevin Burns, fullName, Kevin Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Burns Context triple: [Kevin Burns, fullName, Kevin Burns]
-
A.
Kevin Burns
chosen
Kevin Burns was an American television producer and documentarian best known for creating and producing numerous history- and science-themed series, including "Ancient Aliens" and various programs for the History Channel.
-
B.
Michael Burns
Michael Burns is a film producer known for his work on projects such as the psychological horror movie "Bug" (2006).
-
C.
Kevin Barnett
Kevin Barnett was an American comedian and screenwriter known for co-writing mainstream comedy films and working on various television and stand-up projects.
-
D.
Kevin Browne
Kevin Browne is a personal name shared by multiple individuals, including professionals and public figures in fields such as sports and the arts.
-
E.
Jon G. Burns
Jon G. Burns is an American Republican politician serving as Speaker of the Georgia House of Representatives.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34c22a08190bf34f92f727268c5 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.