Triple
T27740395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India's Next Top Model |
E701835
|
entity |
| Predicate | hasFormatElements |
P23479
|
FINISHED |
| Object | makeover episode |
—
|
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: makeover episode | Statement: [India's Next Top Model, hasFormatElements, makeover episode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormatElements Context triple: [India's Next Top Model, hasFormatElements, makeover episode]
-
A.
hasFormatElement
chosen
Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
-
B.
hasFormatSpecification
Indicates that something is associated with a particular format definition or specification that describes how it should be structured or represented.
-
C.
hasConfigurationFormat
Indicates that an entity uses or is associated with a specific configuration format for its settings or parameters.
-
D.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
-
E.
hasLineElementForm
Indicates that something takes the form or representation of a line element within a given structure or 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 4:10 p.m.