Triple
T8786060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shock the Monkey |
E209044
|
entity |
| Predicate | hasPublicationMedium |
P85369
|
FINISHED |
| Object | 7-inch single |
—
|
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: 7-inch single | Statement: [Shock the Monkey, hasPublicationMedium, 7-inch single]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicationMedium Context triple: [Shock the Monkey, hasPublicationMedium, 7-inch single]
-
A.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
C.
hasPublicationSeries
Indicates that an entity is part of, or associated with, a particular publication series.
-
D.
hasPublicationDate
Indicates that an entity is associated with the specific date on which it was published.
-
E.
hasPub
Indicates that an entity is associated with, or has access to, a public house (pub) as a related establishment or feature.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:42 p.m.