Triple
T27740370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India's Next Top Model |
E701835
|
entity |
| Predicate | formatAdaptationOf |
P43664
|
FINISHED |
| Object | America's Next Top Model |
—
|
NE NERFINISHED |
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: America's Next Top Model | Statement: [India's Next Top Model, formatAdaptationOf, America's Next Top Model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatAdaptationOf Context triple: [India's Next Top Model, formatAdaptationOf, America's Next Top Model]
-
A.
isAdaptation
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
B.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
-
C.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
-
D.
formatVariantOf
Indicates that one entity is an alternative representation or version of another entity that differs only in format while preserving the same underlying content or meaning.
-
E.
screenAdaptationFrom
Indicates that a screen-based work (such as a film or TV show) is an adaptation derived from another source work.
- 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_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 4:10 p.m.