Triple
T12907724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockin' the Joint Tour |
E308768
|
entity |
| Predicate | hasSetlistType |
P106960
|
FINISHED |
| Object | mixture of hits and deep cuts |
—
|
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: mixture of hits and deep cuts | Statement: [Rockin' the Joint Tour, hasSetlistType, mixture of hits and deep cuts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSetlistType Context triple: [Rockin' the Joint Tour, hasSetlistType, mixture of hits and deep cuts]
-
A.
hasPlayType
Indicates the type or category of play associated with an event, action, or performance.
-
B.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
C.
hasFilmSetType
Indicates that a film or scene is associated with a particular type or category of set used in its production.
-
D.
hasGenreList
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
E.
featuredInTourSetlistOf
Indicates that an item (such as a song or performance) appears as part of the setlist for a specific tour.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9708a86bc8190bcdcf97e845bb413 |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:41 p.m.