Triple
T23930027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olive Penderghast |
E602468
|
entity |
| Predicate | wardrobeDetail |
P19025
|
FINISHED |
| Object | retro-inspired outfits |
—
|
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: retro-inspired outfits | Statement: [Olive Penderghast, wardrobeDetail, retro-inspired outfits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wardrobeDetail Context triple: [Olive Penderghast, wardrobeDetail, retro-inspired outfits]
-
A.
wardrobeFeature
chosen
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
B.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
C.
wardrobeChangeBy
Indicates a relationship where one entity causes or performs a change of wardrobe or clothing for another entity.
-
D.
wardrobeChange
Indicates a change in what someone is wearing, such as switching outfits or clothing styles.
-
E.
garmentType
Indicates the specific kind or category of garment 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9b4ae88190b3f4fee69d24bc33 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:56 p.m.