Triple
T25551472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Heidecker |
E640451
|
entity |
| Predicate | partnerInComedyDuoWith |
P76526
|
FINISHED |
| Object | Eric Wareheim |
—
|
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: Eric Wareheim | Statement: [Tim Heidecker, partnerInComedyDuoWith, Eric Wareheim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInComedyDuoWith Context triple: [Tim Heidecker, partnerInComedyDuoWith, Eric Wareheim]
-
A.
partnerInComedyDuo
chosen
Indicates that two entities are partners together in a comedy duo act or performance team.
-
B.
partnerInMusicDuoWith
Indicates that two entities are members of the same musical duo, performing together as a two-person act.
-
C.
associatedWithComedyTeam
Indicates a relationship where an entity is or has been part of, working with, or otherwise linked to a specific comedy team.
-
D.
partnerInQuartetWith
Indicates that two entities are members of the same quartet and are partners within that four-member group.
-
E.
hasTwinActors
Indicates that two or more actors share a twin relationship, typically portraying twin characters or being treated as twins within a given context.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8c65128819088bdee6fa1888bde |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 3:37 p.m.