Triple
T28699701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horatio Caine |
E729514
|
entity |
| Predicate | wardrobeSignature |
P152299
|
FINISHED |
| Object | suit and sunglasses |
—
|
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: suit and sunglasses | Statement: [Horatio Caine, wardrobeSignature, suit and sunglasses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wardrobeSignature Context triple: [Horatio Caine, wardrobeSignature, suit and sunglasses]
-
A.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
B.
characterSignatureClothing
chosen
Indicates that a character is associated with a distinctive or iconic piece of clothing that serves as their recognizable signature attire.
-
C.
fashionLabel
Indicates that an entity is a fashion brand or label associated with the design, production, or marketing of clothing or accessories.
-
D.
fashionLabelType
Indicates the specific category or type of fashion label associated with an item or brand.
-
E.
wardrobeChangeBy
Indicates a relationship where one entity causes or performs a change of wardrobe or clothing for another 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f656b2966c819097ef8bf06148f747 |
completed | May 2, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:41 a.m.