Triple
T25529222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peyton Sawyer |
E639864
|
entity |
| Predicate | cheerleaderFor |
P25464
|
FINISHED |
| Object | Tree Hill Ravens |
—
|
NE NERFINISHED |
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: Tree Hill Ravens | Statement: [Peyton Sawyer, cheerleaderFor, Tree Hill Ravens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cheerleaderFor Context triple: [Peyton Sawyer, cheerleaderFor, Tree Hill Ravens]
-
A.
isCheerleader
Indicates that an entity performs the role or activity of being a cheerleader, typically leading or participating in organized cheering or support.
-
B.
officialCheerleadersFor
chosen
Indicates that one entity serves as the formally recognized cheerleading squad or group supporting another entity, such as a team or organization.
-
C.
hasCheerleaders
Indicates that an entity is associated with or supported by one or more cheerleaders.
-
D.
cheeredBy
Indicates that one entity receives cheers, applause, or vocal support from another entity.
-
E.
cheersForMascot
Indicates that an entity expresses support or enthusiasm for a particular mascot.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f861fa088190a77a182aa602703e |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:13 p.m.