Triple
T13746548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland TR-808 |
E330223
|
entity |
| Predicate | marketReceptionAtRelease |
P5170
|
FINISHED |
| Object | initially considered commercial disappointment |
—
|
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: initially considered commercial disappointment | Statement: [Roland TR-808, marketReceptionAtRelease, initially considered commercial disappointment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketReceptionAtRelease Context triple: [Roland TR-808, marketReceptionAtRelease, initially considered commercial disappointment]
-
A.
marketReception
chosen
Indicates how a product, service, or work is received, evaluated, and responded to by the market or audience after its introduction.
-
B.
marketPositionAtRelease
Indicates the competitive standing or rank of an entity in its market at the time it is released.
-
C.
metacriticReception
Indicates the critical reception or review score an entity received on Metacritic.
-
D.
fandomReception
Indicates how a work, character, or creator is perceived, evaluated, and responded to by its fan community.
-
E.
notableReception
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.