Triple
T3926943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Football on CBS |
E93297
|
entity |
| Predicate | typicalAnnouncerRole |
P51719
|
FINISHED |
| Object | play-by-play commentator |
—
|
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: play-by-play commentator | Statement: [College Football on CBS, typicalAnnouncerRole, play-by-play commentator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAnnouncerRole Context triple: [College Football on CBS, typicalAnnouncerRole, play-by-play commentator]
-
A.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
B.
primaryAnnouncer
Indicates that an entity serves as the main or lead announcer in a given event, program, or context.
-
C.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
D.
televisionAnnouncers
Indicates a relationship where certain people serve as announcers or presenters on television broadcasts.
-
E.
announcedAs
Indicates that one entity is publicly presented, declared, or introduced in a specified role, name, or capacity by 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:23 p.m.