Triple
T18092108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Dylan 1966 World Tour |
E432996
|
entity |
| Predicate | featuredSetType |
P130400
|
FINISHED |
| Object | acoustic set |
—
|
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: acoustic set | Statement: [Bob Dylan 1966 World Tour, featuredSetType, acoustic set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredSetType Context triple: [Bob Dylan 1966 World Tour, featuredSetType, acoustic set]
-
A.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
-
B.
featureTypeCatalog
Indicates that an entity is associated with, or defined by, a catalog that specifies the types of features it can include or reference.
-
C.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
D.
featuredUnitType
Indicates that a particular unit type is highlighted or given special prominence relative to other unit types.
-
E.
featuresThemeType
Indicates that something (such as a work, event, or item) has or is characterized by a particular type of theme.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:27 a.m.