Triple
T24634514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirrel and G-Man Twenty Four Hour Party People Plastic Face Carnt Smile (White Out) |
E609766
|
entity |
| Predicate | helpedDefineScene |
P156854
|
FINISHED |
| Object | Madchester scene |
—
|
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: Madchester scene | Statement: [Squirrel and G-Man Twenty Four Hour Party People Plastic Face Carnt Smile (White Out), helpedDefineScene, Madchester scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedDefineScene Context triple: [Squirrel and G-Man Twenty Four Hour Party People Plastic Face Carnt Smile (White Out), helpedDefineScene, Madchester scene]
-
A.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
B.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
C.
sharedSceneWith
Indicates that two entities appear together within the same scene or setting.
-
D.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
E.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
- F. None of above. chosen
Provenance (4 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.