Triple
T16468972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane Cook |
E400009
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dane Cook |
E400009
|
NE 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: Dane Cook | Statement: [Dane Cook, name, Dane Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dane Cook Context triple: [Dane Cook, name, Dane Cook]
-
A.
Dane Cook
chosen
Dane Cook is an American stand-up comedian and actor known for his energetic, observational comedy and roles in films such as "Good Luck Chuck" and "Employee of the Month."
-
B.
Jim Gaffigan
Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
-
C.
Bill Engvall
Bill Engvall is an American stand-up comedian and actor best known as a member of the Blue Collar Comedy Tour and for his signature "Here's Your Sign" routine.
-
D.
Daniel Tosh
Daniel Tosh is an American stand-up comedian, television host, and actor best known for his dark, edgy humor and hosting the Comedy Central series "Tosh.0."
-
E.
Matt Besser
Matt Besser is an American comedian, actor, and improviser best known as a founding member of the influential Upright Citizens Brigade comedy troupe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581a11e881908681f68c26ee6a05 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:11 a.m.