Triple
T36968698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Slade |
E914498
|
entity |
| Predicate | earlyComedyPartner |
P76526
|
FINISHED |
| Object | Bill Hicks |
—
|
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: Bill Hicks | Statement: [Dwight Slade, earlyComedyPartner, Bill Hicks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyComedyPartner Context triple: [Dwight Slade, earlyComedyPartner, Bill Hicks]
-
A.
partnerInComedyDuo
chosen
Indicates that two entities are partners together in a comedy duo act or performance team.
-
B.
comedyDuoStatus
Indicates the status or condition of a relationship in which two entities function together as a comedy duo.
-
C.
comedicDynamicWith
Indicates a relationship in which two or more entities interact in a way that creates or supports comedic effect, timing, or contrast.
-
D.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
E.
openedComedyClub
Indicates that an entity initiated and established a comedy club, making it operational for performances or business.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.