Triple
T29541813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Original Kings of Comedy |
E749520
|
entity |
| Predicate | tourFeaturesComedian |
P92612
|
FINISHED |
| Object | Steve Harvey |
—
|
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: Steve Harvey | Statement: [The Original Kings of Comedy, tourFeaturesComedian, Steve Harvey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourFeaturesComedian Context triple: [The Original Kings of Comedy, tourFeaturesComedian, Steve Harvey]
-
A.
comedian
Indicates that the subject performs comedy or is recognized for engaging in comedic entertainment.
-
B.
hasComedyShows
chosen
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
C.
isEntertainer
Indicates that one entity works in entertainment, performing or creating content to amuse or engage an audience.
-
D.
comedicDynamicWith
Indicates a relationship in which two or more entities interact in a way that creates or supports comedic effect, timing, or contrast.
-
E.
featuresVaudeville
Indicates that something includes or presents vaudeville-style performance as a notable element or component.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66ccb2f0c8190afec245ff546681c |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:03 p.m.