Triple
T8364520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champions on Ice |
E197091
|
entity |
| Predicate | entertainmentIndustry |
P30079
|
FINISHED |
| Object | sports entertainment |
—
|
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: sports entertainment | Statement: [Champions on Ice, entertainmentIndustry, sports entertainment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entertainmentIndustry Context triple: [Champions on Ice, entertainmentIndustry, sports entertainment]
-
A.
popularFilmIndustry
Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
-
B.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
-
C.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
-
D.
hasMediaIndustry
Indicates that an entity is involved in, associated with, or operates within the media industry.
-
E.
madeInHollywood
Indicates that something was produced or created within Hollywood, typically referring to the Hollywood film or entertainment industry.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808a67f88190849152102bfeb574 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.