Triple
T9280563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Jones |
E223054
|
entity |
| Predicate | hasGivenStandUpPerformancesAt |
P64992
|
FINISHED |
| Object | Comedy clubs across the United States |
—
|
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: Comedy clubs across the United States | Statement: [Leslie Jones, hasGivenStandUpPerformancesAt, Comedy clubs across the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenStandUpPerformancesAt Context triple: [Leslie Jones, hasGivenStandUpPerformancesAt, Comedy clubs across the United States]
-
A.
performedStandUpOn
Indicates that one entity conducted or participated in a stand-up meeting on a specific date or occasion with respect to another entity.
-
B.
performedStandUpIn
chosen
Indicates that an entity conducted or participated in a stand-up performance or show at a specific location or venue.
-
C.
hasNotableLivePerformancesBy
Indicates that an entity (such as a work, event, or venue) is associated with notable live performances given by a specified performer or group.
-
D.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
-
E.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cd9a1c8190af0521baa428ce10 |
completed | April 1, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.