Triple
T34209084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs for Hot Chelle Rae |
E877601
|
entity |
| Predicate | hasGeneralReception |
P15291
|
FINISHED |
| Object | radio-friendly appeal |
—
|
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: radio-friendly appeal | Statement: [Songs for Hot Chelle Rae, hasGeneralReception, radio-friendly appeal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeneralReception Context triple: [Songs for Hot Chelle Rae, hasGeneralReception, radio-friendly appeal]
-
A.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
B.
notableReception
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
-
C.
hasAudienceReception
chosen
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
D.
hasReviewReception
Indicates that an entity has received a critical or evaluative review describing how it was received or perceived.
-
E.
hasCulturalReception
Indicates that an entity has been received, interpreted, or responded to within a particular cultural context or by a specific audience.
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 1:55 a.m.