Triple
T9801894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Bloody Valentine |
E237857
|
entity |
| Predicate | costumeOrIcon |
P63559
|
FINISHED |
| Object | gas mask |
—
|
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: gas mask | Statement: [My Bloody Valentine, costumeOrIcon, gas mask]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeOrIcon Context triple: [My Bloody Valentine, costumeOrIcon, gas mask]
-
A.
costume
chosen
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a costume.
-
B.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
C.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
D.
costumeContext
Indicates the situational or narrative context in which a costume is used, such as the event, setting, or role it is associated with.
-
E.
costumeFeatures
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.