Triple
T20123291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Bay punk scene |
E490665
|
entity |
| Predicate | notableBand |
P6597
|
FINISHED |
| Object | Monsula |
—
|
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: Monsula | Statement: [East Bay punk scene, notableBand, Monsula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monsula Context triple: [East Bay punk scene, notableBand, Monsula]
-
A.
Monsula
chosen
Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
-
B.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
-
C.
Monywa
Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
-
D.
Mosogar
Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.