Triple
T21872095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Chatton |
E540026
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Snafu |
—
|
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: Snafu | Statement: [Brian Chatton, associatedWith, Snafu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snafu Context triple: [Brian Chatton, associatedWith, Snafu]
-
A.
Snafu
Snafu is the nickname of Merriel Shelton, a U.S. Marine famously portrayed in the World War II miniseries "The Pacific."
-
B.
Snafu
chosen
Snafu was a 1970s British rock band known for blending blues, funk, and country influences, featuring guitarist Micky Moody before his later fame with Whitesnake.
-
C.
S.N.U.F.F.
S.N.U.F.F. is a dystopian science fiction novel by Russian writer Viktor Pelevin that satirizes media manipulation, war, and postmodern society.
-
D.
Hap-Hazard
Hap-Hazard is a notable work by American journalist and lecturer Kate Field, reflecting her wit and social commentary.
-
E.
Runaround
Runaround was a British children's television game show, best known for its energetic format where contestants ran between answer choices to win prizes.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f3368d488190a37224b587858ab0 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:59 p.m.