Triple
T38347594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anarkali suit |
E1041585
|
entity |
| Predicate | bodiceFit |
P173622
|
FINISHED |
| Object | fitted |
—
|
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: fitted | Statement: [Anarkali suit, bodiceFit, fitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodiceFit Context triple: [Anarkali suit, bodiceFit, fitted]
-
A.
typicalFit
Indicates that one entity is a usual, expected, or characteristic match or correspondence for another in a given context.
-
B.
fittedWith
Indicates that one entity is equipped, supplied, or provided with another entity as a component, feature, or accessory.
-
C.
fits
chosen
Indicates that one entity is appropriately sized, shaped, or otherwise suitable to be placed in, on, or together with another entity.
-
D.
bodyDesigner
Indicates that one entity is responsible for designing, shaping, or creating the physical form or structure of another entity.
-
E.
fantasyBraValue
Indicates a relationship where a specific bra size or measurement is assigned to or associated with an entity in a fantasy or non-realistic context.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.