Triple
T26105839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Njomza |
E658532
|
entity |
| Predicate | hasRecordedWithLabel |
P34323
|
FINISHED |
| Object | Atlantic 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: Atlantic Records | Statement: [Njomza, hasRecordedWithLabel, Atlantic Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordedWithLabel Context triple: [Njomza, hasRecordedWithLabel, Atlantic Records]
-
A.
hasRecordingLabel
Indicates that an entity (such as an artist or release) is associated with a particular recording label that publishes or distributes its music.
-
B.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
C.
hasWorkRecordedBy
Indicates that a particular work (such as a composition or piece) has been captured or documented in an audio or video recording made by a specified recorder or performer.
-
D.
hasRecordLabel
chosen
Indicates that an entity (typically a musical artist or release) is associated with or signed to a particular record label.
-
E.
hasWorkRecordedThere
Indicates that a person or creator has had their work documented, produced, or otherwise officially recorded at a particular place or institution.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: April 26, 2026, 7:58 p.m.