Triple
T34265517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veruca Salt – Seether |
E879154
|
entity |
| Predicate | mtvRotation |
P178719
|
FINISHED |
| Object | heavy |
—
|
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: heavy | Statement: [Veruca Salt – Seether, mtvRotation, heavy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mtvRotation Context triple: [Veruca Salt – Seether, mtvRotation, heavy]
-
A.
rotatesAmong
Indicates that an entity takes turns occupying or performing a role, position, or function in sequence with other entities.
-
B.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
C.
rotationProcess
Indicates a process in which something is turned or rotated around an axis or point over time.
-
D.
rotationPractice
Indicates that an entity engages in or is involved with practicing rotational movements or rotation-related skills.
-
E.
rotationAction
Indicates an action where an entity is turned or rotated around a point, axis, or center by a specified amount or orientation.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:56 a.m.