Triple
T35809202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Angle |
E1035181
|
entity |
| Predicate | typicalAttireTheme |
P62728
|
FINISHED |
| Object | amateur wrestling singlets |
—
|
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: amateur wrestling singlets | Statement: [Team Angle, typicalAttireTheme, amateur wrestling singlets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAttireTheme Context triple: [Team Angle, typicalAttireTheme, amateur wrestling singlets]
-
A.
usualAttire
chosen
Indicates the type of clothing an entity typically wears in ordinary or characteristic situations.
-
B.
entranceAttire
Indicates the required or appropriate clothing or dress code for entering a particular place or event.
-
C.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
D.
costumeInspiration
Indicates that one entity serves as the creative source or model for another entity’s costume design.
-
E.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.