Triple
T7901557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanche DuBois |
E183463
|
entity |
| Predicate | costumeSymbol |
P28106
|
FINISHED |
| Object | white clothing |
—
|
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: white clothing | Statement: [Blanche DuBois, costumeSymbol, white clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeSymbol Context triple: [Blanche DuBois, costumeSymbol, white clothing]
-
A.
costumeElement
chosen
Indicates that one item functions as a component or part of another item's costume.
-
B.
costumeContext
Indicates the situational or narrative context in which a costume is used, such as the event, setting, or role it is associated with.
-
C.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
D.
costume
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
-
E.
colorAssociatedWithCostume
Indicates that a particular color is thematically or typically linked to a specific 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a40a0508190864479c2c41b12cb |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:02 p.m.