Triple
T15977994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snafu |
E387497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Snafu |
E387497
|
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: Snafu | Statement: [Snafu, name, Snafu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snafu Context triple: [Snafu, name, Snafu]
-
A.
Snafu
chosen
Snafu is the nickname of Merriel Shelton, a U.S. Marine famously portrayed in the World War II miniseries "The Pacific."
-
B.
Hap-Hazard
Hap-Hazard is a notable work by American journalist and lecturer Kate Field, reflecting her wit and social commentary.
-
C.
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.
-
D.
Runaround
"Runaround" is a seminal science fiction short story by Isaac Asimov that famously introduced and explored the Three Laws of Robotics through a malfunctioning robot on Mercury.
-
E.
Shenanigans
Shenanigans is a 2002 compilation album by American punk rock band Green Day, featuring B-sides, rarities, and previously unreleased tracks.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157521f6c8190a54023b5ee6fc033 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1893388190800f013fab415ae7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.