Triple
T5135568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live! with Regis and Kelly |
E115810
|
entity |
| Predicate | notableHostTrait |
P62819
|
FINISHED |
| Object | Regis Philbin’s energetic and humorous style |
—
|
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: Regis Philbin’s energetic and humorous style | Statement: [Live! with Regis and Kelly, notableHostTrait, Regis Philbin’s energetic and humorous style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHostTrait Context triple: [Live! with Regis and Kelly, notableHostTrait, Regis Philbin’s energetic and humorous style]
-
A.
hasNotableHost
Indicates that an entity is associated with a host who is particularly prominent, famous, or otherwise noteworthy.
-
B.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
C.
notableFeat
Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
-
D.
notablePresence
Indicates that an entity has a significant or prominent presence in relation to another entity, context, or domain.
-
E.
notableProductionHosted
Indicates that an entity has served as the host or venue for a notable production or show.
- F. None of above. chosen
Provenance (4 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7fee42748190967013828973cce0 |
completed | March 20, 2026, 5:12 p.m. |
Created at: March 20, 2026, 1:43 p.m.