Triple
T31315452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22 (Taylor’s Version) |
E798581
|
entity |
| Predicate | hasOriginalLabelContext |
P13087
|
FINISHED |
| Object | Big Machine Records |
—
|
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: Big Machine Records | Statement: [22 (Taylor’s Version), hasOriginalLabelContext, Big Machine Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalLabelContext Context triple: [22 (Taylor’s Version), hasOriginalLabelContext, Big Machine Records]
-
A.
hasOriginalPrefix
Indicates that an entity retains or is associated with its initial or primary prefix from which later forms or variants are derived.
-
B.
originalLabel
chosen
Indicates the primary or initial label or name originally assigned to an entity before any changes or translations.
-
C.
hasOriginalNameOf
Indicates that one entity is the original or earlier name from which another entity’s current or later name is derived.
-
D.
hasExplicitOriginal
Indicates that something has a clearly specified, directly stated original source or version from which it is derived.
-
E.
hasOriginalLocation
Indicates that an entity was initially located or situated at a specified place or position before any change or movement occurred.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 29, 2026, 9:15 p.m.