Triple
T20057402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curt Menefee |
E499375
|
entity |
| Predicate | typeOfBroadcaster |
P9324
|
FINISHED |
| Object | play-by-play and studio host |
—
|
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 and studio host | Statement: [Curt Menefee, typeOfBroadcaster, play-by-play and studio host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBroadcaster Context triple: [Curt Menefee, typeOfBroadcaster, play-by-play and studio host]
-
A.
broadcasterType
chosen
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
B.
hasBroadcaster
Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting organization.
-
C.
primaryBroadcaster
Indicates that one entity serves as the main or principal broadcaster for another entity (such as an event, program, or channel).
-
D.
propagatorType
Indicates the specific method or model used to propagate or advance a state (such as position, condition, or effect) from one point in time or space to another.
-
E.
transmitterType
Indicates the kind or category of transmitter associated with or used by an entity.
- F. None of above.
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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637325908190aefc0e27e2ed5750 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.