Triple
T11306854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSL-TV |
E267737
|
entity |
| Predicate | roleOfJimNantz |
P98419
|
FINISHED |
| Object | sports anchor |
—
|
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: sports anchor | Statement: [KSL-TV, roleOfJimNantz, sports anchor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJimNantz Context triple: [KSL-TV, roleOfJimNantz, sports anchor]
-
A.
roleOfSteveJordan
Indicates that Steve Jordan holds or performs a particular role or function in relation to another entity or context.
-
B.
announcerUSPlayByPlay
Indicates that an entity serves as the primary play-by-play announcer for a U.S.-based sports broadcast or event.
-
C.
Don FaurotRole
Indicates that Don Faurot holds or held a specific role, position, or job in relation to another entity.
-
D.
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.
-
E.
Colin AngleRole
Indicates that Colin Angle holds or has held a specific role or position in relation to another entity.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.