Triple
T27691285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art of Noise featuring Duane Eddy version of "Peter Gunn" |
E698163
|
entity |
| Predicate | originalWorkPublicationDecade |
P140203
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Art of Noise featuring Duane Eddy version of "Peter Gunn", originalWorkPublicationDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkPublicationDecade Context triple: [Art of Noise featuring Duane Eddy version of "Peter Gunn", originalWorkPublicationDecade, 1950s]
-
A.
publicationDecade
Indicates the decade during which a publication was released or made publicly available.
-
B.
firstWorkPublicationDecade
Indicates the decade during which an entity’s first work was published.
-
C.
basedOnWorkPublicationDecade
chosen
Indicates that one entity is categorized or related to another based on the decade in which a referenced work was originally published.
-
D.
firstEditionPublicationDecade
Indicates the decade during which the first edition of a work was originally published.
-
E.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 27, 2026, 2:52 p.m.