Triple
T34532404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Reed Rowdies |
E886573
|
entity |
| Predicate | usesCheerType |
P156686
|
FINISHED |
| Object | chants |
—
|
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: chants | Statement: [The Reed Rowdies, usesCheerType, chants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCheerType Context triple: [The Reed Rowdies, usesCheerType, chants]
-
A.
usesCheer
chosen
Indicates that one entity employs or incorporates a cheer (such as a chant, slogan, or supportive exclamation) in relation to another entity or context.
-
B.
hasCheerStyle
Indicates that an entity possesses or is associated with a particular style or manner of cheering.
-
C.
isCheerleader
Indicates that an entity performs the role or activity of being a cheerleader, typically leading or participating in organized cheering or support.
-
D.
hasCheerElements
Indicates that something includes or is composed of specific cheerleading-related components or features.
-
E.
hasCheerleaders
Indicates that an entity is associated with or supported by one or more cheerleaders.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 1, 2026, 2:02 a.m.