Triple
T20818307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Goelz |
E512503
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Zoot |
—
|
NE NERFINISHED |
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: Zoot | Statement: [Dave Goelz, notableCharacter, Zoot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoot Context triple: [Dave Goelz, notableCharacter, Zoot]
-
A.
Zoot
chosen
Zoot is a fictional animal character name commonly used in entertainment and media, often evoking a quirky or playful creature.
-
B.
Zoot
Zoot is the nickname of Zoot Sims, an influential American jazz saxophonist known for his swinging style and work in the cool jazz and big band traditions.
-
C.
Zooropa
Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
-
D.
Zebra Katz
Zebra Katz is an American rapper and performance artist known for his dark, minimalist hip-hop sound and prominent role in the queer rap movement.
-
E.
Kritter
Kritter is a common crocodilian enemy character from the Donkey Kong video game series, serving as one of the primary foot soldiers of the Kremling Krew.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.