Triple
T29140732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Arthur Haynes Show (appearances) |
E738623
|
entity |
| Predicate | hasMainComedian |
P185309
|
FINISHED |
| Object | Arthur Haynes |
—
|
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: Arthur Haynes | Statement: [The Arthur Haynes Show (appearances), hasMainComedian, Arthur Haynes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainComedian Context triple: [The Arthur Haynes Show (appearances), hasMainComedian, Arthur Haynes]
-
A.
hasLeadComedian
chosen
Indicates that one entity serves as the primary or main comedian associated with another entity, such as a show, event, or performance.
-
B.
starsComedianKnownFor
Indicates that a work features a comedian who is particularly recognized or famous for that role or performance.
-
C.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
D.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
E.
comedian
Indicates that the subject performs comedy or is recognized for engaging in comedic entertainment.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: April 28, 2026, 11:36 a.m.