Triple
T28140150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoot Suit |
E714319
|
entity |
| Predicate | costumeSymbolism |
P38168
|
FINISHED |
| Object | zoot suit as symbol of resistance to assimilation |
—
|
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: zoot suit as symbol of resistance to assimilation | Statement: [Zoot Suit, costumeSymbolism, zoot suit as symbol of resistance to assimilation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeSymbolism Context triple: [Zoot Suit, costumeSymbolism, zoot suit as symbol of resistance to assimilation]
-
A.
clothingSymbolism
chosen
Indicates how clothing or attire conveys symbolic meaning, such as status, identity, emotion, or cultural significance, within a given context.
-
B.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
-
C.
costumeContext
Indicates the situational or narrative context in which a costume is used, such as the event, setting, or role it is associated with.
-
D.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
E.
costumeInscription
Indicates that a costume bears a specific inscription, such as text, symbols, or markings, that are written, printed, or otherwise applied to it.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 9:53 p.m.