Triple
T24668491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phony Rappers |
E610752
|
entity |
| Predicate | criticReceptionAspect |
P82153
|
FINISHED |
| Object | praised for storytelling |
—
|
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: praised for storytelling | Statement: [Phony Rappers, criticReceptionAspect, praised for storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticReceptionAspect Context triple: [Phony Rappers, criticReceptionAspect, praised for storytelling]
-
A.
metacriticReception
Indicates the critical reception or review score an entity received on Metacritic.
-
B.
critiquesAspect
chosen
Indicates that one entity evaluates and expresses critical judgment about a particular aspect or component of another entity.
-
C.
classificationByCritics
Indicates how critics have categorized, rated, or evaluated an entity according to their professional or editorial judgment.
-
D.
hasTheatricalCriticism
Indicates that one entity has written, produced, or is otherwise associated with theatrical criticism about another entity.
-
E.
criticRole
Indicates that an entity serves in the capacity or function of a critic in relation to another entity or work.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:41 a.m.