Triple
T26109139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Lewis (The Sunshine Boys) |
E658635
|
entity |
| Predicate | relationshipWithComedyPartner |
P150123
|
FINISHED |
| Object | long-feuding |
—
|
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: long-feuding | Statement: [Al Lewis (The Sunshine Boys), relationshipWithComedyPartner, long-feuding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithComedyPartner Context triple: [Al Lewis (The Sunshine Boys), relationshipWithComedyPartner, long-feuding]
-
A.
partnerInComedyDuo
Indicates that two entities are partners together in a comedy duo act or performance team.
-
B.
associatedWithComedyTeam
chosen
Indicates a relationship where an entity is or has been part of, working with, or otherwise linked to a specific comedy team.
-
C.
partnerInSeries
Indicates that two entities are co-participants or collaborators within the same series, jointly contributing to or appearing in that ongoing sequence.
-
D.
starsComedianKnownFor
Indicates that a work features a comedian who is particularly recognized or famous for that role or performance.
-
E.
laterPartnerInPracticeWith
Indicates that one entity became a partner in professional practice with another entity at a later point in time.
- 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_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 26, 2026, 8 p.m.