Triple
T32651020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lush |
E834731
|
entity |
| Predicate | reasonForFirstDisbandment |
P13662
|
FINISHED |
| Object | death of drummer Chris Acland |
—
|
LITERAL 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: death of drummer Chris Acland | Statement: [Lush, reasonForFirstDisbandment, death of drummer Chris Acland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForFirstDisbandment Context triple: [Lush, reasonForFirstDisbandment, death of drummer Chris Acland]
-
A.
reasonForDisbandment
chosen
Indicates the cause or circumstance that led to a group, organization, or entity being dissolved or disbanded.
-
B.
disbandedDueTo
Indicates that an organization, group, or entity ceased to exist specifically as a result of a particular cause, event, or condition.
-
C.
disbandsAfter
Indicates that one entity ceases to exist or formally dissolves at some point following the occurrence or completion of another entity or event.
-
D.
disbandedDuring
Indicates that an entity ceased to exist or was formally dissolved at some point within the duration of a specified event or time period.
-
E.
disbandmentYear
Indicates the year in which an organization, group, or entity formally ceased to exist or was dissolved.
- F. None of above.
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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 1, 2026, 1:08 a.m.