Triple
T12667465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia DeJonge as Priscilla Presley |
E302592
|
entity |
| Predicate | hairAndCostumeStyle |
P60977
|
FINISHED |
| Object | 1960s fashion |
—
|
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: 1960s fashion | Statement: [Olivia DeJonge as Priscilla Presley, hairAndCostumeStyle, 1960s fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairAndCostumeStyle Context triple: [Olivia DeJonge as Priscilla Presley, hairAndCostumeStyle, 1960s fashion]
-
A.
hairStyleForRole
Indicates that a particular hairstyle is designated or used for a specific role or character.
-
B.
costumeDesignStyle
chosen
Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
-
C.
costumeInspiration
Indicates that one entity serves as the creative source or model for another entity’s costume design.
-
D.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.