Triple
T13833651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinashe |
E332467
|
entity |
| Predicate | hasLabelStatus |
P12717
|
FINISHED |
| Object | independent artist |
—
|
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 artist | Statement: [Tinashe, hasLabelStatus, independent artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLabelStatus Context triple: [Tinashe, hasLabelStatus, independent artist]
-
A.
hasStatusLabel
chosen
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
B.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
C.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
-
D.
isLabeledOn
Indicates that a label, tag, or identifying text is physically or virtually attached to or displayed on an entity.
-
E.
hasCertificationLabel
Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.