Triple
T26109137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Lewis (The Sunshine Boys) |
E658635
|
entity |
| Predicate | isPartOfComedyDuo |
P159959
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Al Lewis (The Sunshine Boys), isPartOfComedyDuo, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfComedyDuo Context triple: [Al Lewis (The Sunshine Boys), isPartOfComedyDuo, yes]
-
A.
partnerInComedyDuo
Indicates that two entities are partners together in a comedy duo act or performance team.
-
B.
associatedWithComedyTeam
Indicates a relationship where an entity is or has been part of, working with, or otherwise linked to a specific comedy team.
-
C.
comedyDuoStatus
chosen
Indicates the status or condition of a relationship in which two entities function together as a comedy duo.
-
D.
hasNotablePerformerDuo
Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
-
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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 26, 2026, 8 p.m.