Triple
T25817889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Thorne |
E650311
|
entity |
| Predicate | spokeCommentaryStyle |
P145589
|
FINISHED |
| Object | play-by-play |
—
|
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 | Statement: [Gary Thorne, spokeCommentaryStyle, play-by-play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokeCommentaryStyle Context triple: [Gary Thorne, spokeCommentaryStyle, play-by-play]
-
A.
commentarialStyle
chosen
Indicates the manner or approach taken in writing or presenting commentary on a text, event, or subject.
-
B.
hasCommentaryOn
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
C.
hasCommentaryForm
Indicates that one entity exists in, or is associated with, a commentary version or format of another entity.
-
D.
monologueStyle
Indicates that an entity delivers or is presented in a monologue format, characterized by a single voice speaking at length without direct interaction from others.
-
E.
typeOfCommentary
Indicates that one piece of commentary is a specific kind or subtype of another, more general category of commentary.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600cb37f081908ad2ea805c555876 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 7:27 a.m.