Triple
T16318061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell Waltrip |
E396221
|
entity |
| Predicate | endedRegularFoxNASCARCommentary |
P122669
|
FINISHED |
| Object | 2019 |
—
|
LITERAL 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: 2019 | Statement: [Darrell Waltrip, endedRegularFoxNASCARCommentary, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedRegularFoxNASCARCommentary Context triple: [Darrell Waltrip, endedRegularFoxNASCARCommentary, 2019]
-
A.
announcerUSColorCommentator
Indicates that one person serves as the primary play-by-play announcer while the other serves as the color commentator for a U.S.-based broadcast.
-
B.
sportCommentated
Indicates that one entity provides live or recorded commentary on a sporting event involving another entity.
-
C.
notableFormerLeadPlayByPlayAnnouncer
Indicates that the subject was previously the primary play-by-play announcer for the object and is recognized as notable in that former role.
-
D.
announcerUSPlayByPlay
Indicates that an entity serves as the primary play-by-play announcer for a U.S.-based sports broadcast or event.
-
E.
usesCommentaryTeamsOf
Indicates that one entity employs or relies on the commentary teams associated with another entity for coverage or presentation.
- F. None of above. chosen
Provenance (4 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.