Triple
T26589273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Chappelle: The Kennedy Center Mark Twain Prize special |
E667300
|
entity |
| Predicate | awardTypeFeatured |
P107251
|
FINISHED |
| Object | lifetime achievement in American humor |
—
|
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: lifetime achievement in American humor | Statement: [Dave Chappelle: The Kennedy Center Mark Twain Prize special, awardTypeFeatured, lifetime achievement in American humor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardTypeFeatured Context triple: [Dave Chappelle: The Kennedy Center Mark Twain Prize special, awardTypeFeatured, lifetime achievement in American humor]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
featuresAward
chosen
Indicates that something includes, presents, or highlights a particular award as part of its content or attributes.
-
C.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardCreated
Indicates that an award was established or instituted by a particular agent or entity.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 2:07 a.m.