Triple
T21093293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Minded |
E519686
|
entity |
| Predicate | originalLabelType |
P118994
|
FINISHED |
| Object | independent label release |
—
|
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: independent label release | Statement: [Criminal Minded, originalLabelType, independent label release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLabelType Context triple: [Criminal Minded, originalLabelType, independent label release]
-
A.
originalLabel
Indicates the primary or initial label or name originally assigned to an entity before any changes or translations.
-
B.
labelingType
chosen
Indicates the specific kind or category of labeling applied to an entity or between entities, such as the method, standard, or purpose of the label.
-
C.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
D.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original language.
-
E.
firstLabel
Indicates that the referenced label is the earliest or primary label assigned to an entity among a set of possible labels.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70950a31c8190bde2d7b414c362c7 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:51 p.m.