Triple
T13026007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gail Abernathy-McKadden |
E326306
|
entity |
| Predicate | commentates |
P13626
|
FINISHED |
| Object | collegiate a cappella competitions |
—
|
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: collegiate a cappella competitions | Statement: [Gail Abernathy-McKadden, commentates, collegiate a cappella competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentates Context triple: [Gail Abernathy-McKadden, commentates, collegiate a cappella competitions]
-
A.
commentatedFor
Indicates that one entity provided live or recorded commentary or analysis for an event, performance, or broadcast on behalf of another entity (such as an organization, channel, or client).
-
B.
sportCommentated
Indicates that one entity provides live or recorded commentary on a sporting event involving another entity.
-
C.
commentator
chosen
Indicates that an entity provides spoken or written real-time explanation, analysis, or opinion about an event, action, or content involving another entity.
-
D.
hasCommentaryOn
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
E.
commentaryOn
Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:53 p.m.