Triple
T34365010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spectrum |
E881982
|
entity |
| Predicate | hasPerformerLegalDescription |
P195910
|
FINISHED |
| Object | American rapper |
—
|
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: American rapper | Statement: [Spectrum, hasPerformerLegalDescription, American rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerLegalDescription Context triple: [Spectrum, hasPerformerLegalDescription, American rapper]
-
A.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
B.
hasPerformerGivenName
Indicates that a performer is associated with a specific given (first) name.
-
C.
hasArtistLegalCountry
Indicates the legal country or jurisdiction under which an artist is officially registered or recognized.
-
D.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
E.
hasLegalSubject
Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69fdee75d1408190bba58a9cef200a54 |
completed | May 8, 2026, 2:08 p.m. |
Created at: May 1, 2026, 1:58 a.m.