Triple
T22913303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stu Macher |
E568658
|
entity |
| Predicate | wearsCostume |
P63559
|
FINISHED |
| Object | Ghostface costume |
—
|
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: Ghostface costume | Statement: [Stu Macher, wearsCostume, Ghostface costume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsCostume Context triple: [Stu Macher, wearsCostume, Ghostface costume]
-
A.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
B.
isCostumedCharacterFor
Indicates that one entity serves as a costumed character representation or mascot for another entity, typically for promotional or entertainment purposes.
-
C.
costume
chosen
Indicates that one entity is wearing, dressed in, or outfitted with the other entity as a 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.
costumeType
Indicates the specific kind or category of costume associated with an entity.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.