Triple
T16161370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Do-Over |
E392187
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Kevin Barnett |
E1104984
|
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 Barnett | Statement: [The Do-Over, writer, Kevin Barnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Barnett Context triple: [The Do-Over, writer, Kevin Barnett]
-
A.
Kevin Barnett
chosen
Kevin Barnett was an American comedian and screenwriter known for co-writing mainstream comedy films and working on various television and stand-up projects.
-
B.
Kevin Burkhardt
Kevin Burkhardt is an American sportscaster best known as a play-by-play announcer and studio host for major MLB and NFL broadcasts on Fox.
-
C.
Greg Barnett
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
-
D.
Greg Barnett
Greg Barnett is a guitarist and vocalist best known as a member of the American punk rock band The Menzingers.
-
E.
Michael Barnett
Michael Barnett is an international relations scholar known for his work on global governance, humanitarianism, and international organizations.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5f0cb48190aae995d88382e055 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00606a3d5c8190a145ca35ce458f7e |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:02 a.m.