Triple
T27880063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia's Next Top Model |
E705061
|
entity |
| Predicate | inFranchiseWith |
P102724
|
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: [Australia's Next Top Model, inFranchiseWith, America's Next Top Model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inFranchiseWith Context triple: [Australia's Next Top Model, inFranchiseWith, America's Next Top Model]
-
A.
includedFranchise
Indicates that one franchise is contained within, or forms part of, another franchise.
-
B.
participatingFranchise
Indicates that a franchise is involved as a participant in a particular program, event, or arrangement.
-
C.
associatedFranchise
Indicates a relationship where one entity is linked to, or belongs within, a particular franchise or franchise universe.
-
D.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
E.
includedInFranchise
chosen
Indicates that an entity is part of, or belongs to, a larger franchise or franchise series.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:29 p.m.