Triple
T17987334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogwai Fear Satan |
E430268
|
entity |
| Predicate | hasVolumeContrasts |
P130022
|
FINISHED |
| Object | extreme |
—
|
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: extreme | Statement: [Mogwai Fear Satan, hasVolumeContrasts, extreme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolumeContrasts Context triple: [Mogwai Fear Satan, hasVolumeContrasts, extreme]
-
A.
hasDensityContrast
Indicates that one entity differs from another in material density, highlighting a contrast in how compact or dense they are.
-
B.
providesContrastWith
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
C.
hasThreeVolumeStructureRole
Indicates that an entity participates in or fulfills a role within a three-volume structural organization or framework.
-
D.
supportsVolumeControl
Indicates that one entity provides the capability to adjust or manage the audio volume level of another entity.
-
E.
achievesContrast
Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29c6d0881909d450d2561d532a6 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.