Triple
T34657194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDE |
E890013
|
entity |
| Predicate | roleWithYoungNudy |
P179578
|
FINISHED |
| Object | primary label imprint for Young Nudy releases |
—
|
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: primary label imprint for Young Nudy releases | Statement: [PDE, roleWithYoungNudy, primary label imprint for Young Nudy releases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithYoungNudy Context triple: [PDE, roleWithYoungNudy, primary label imprint for Young Nudy releases]
-
A.
roleWithNickyJam
Indicates that an entity has a role or appearance in a work or context involving Nicky Jam.
-
B.
hasYoungLoverCharacter
Indicates that an entity is involved in a romantic or intimate relationship with a significantly younger lover character.
-
C.
roleInThinner
Indicates that an entity has a specific role or function within the context of a thinner (such as a solvent or diluting agent) or a thinning process.
-
D.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
E.
isYoung
Indicates that an entity is at an early stage of life or development relative to a relevant norm or comparison group.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722c91e14819090fd624cf47780d7 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 2:04 a.m.