Triple
T15359491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Spunt |
E367251
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Goons Be Gone |
E367259
|
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: Goons Be Gone | Statement: [Dean Spunt, notableWork, Goons Be Gone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goons Be Gone Context triple: [Dean Spunt, notableWork, Goons Be Gone]
-
A.
Goons Be Gone
chosen
Goons Be Gone is a 2020 studio album by the American noise rock band No Age, showcasing their lo-fi, experimental punk sound.
-
B.
Goons Mi
"Goons Mi" is a drill/rap track by UK artist Street OT, known for its gritty lyrics and hard-hitting production.
-
C.
Awon Goons Mi
"Awon Goons Mi" is a drill/rap track by UK artist Street OT known for its gritty street themes and hard-hitting delivery.
-
D.
Bad Gones
Bad Gones is a prominent ultra-style supporters’ group of Olympique Lyonnais, known for its passionate backing and choreographed displays at matches.
-
E.
Goon
Goon is a 2011 sports comedy film in which Seann William Scott stars as a kind-hearted but tough enforcer on a minor league hockey team.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.