Triple
T22486647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tall Boy |
E555900
|
entity |
| Predicate | typicalSetlistRole |
P24740
|
FINISHED |
| Object | high-energy number |
—
|
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: high-energy number | Statement: [Tall Boy, typicalSetlistRole, high-energy number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSetlistRole Context triple: [Tall Boy, typicalSetlistRole, high-energy number]
-
A.
typicalPerformerRoleType
Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
-
B.
musicSceneRole
Indicates the specific function or position an entity holds within a particular music scene or musical community.
-
C.
musicalEnsembleRole
Indicates the specific function or position an individual holds within a musical ensemble, such as performer, conductor, or composer.
-
D.
talentShowRole
Indicates the specific function or position an entity holds within the context of a talent show (e.g., performer, judge, host).
-
E.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3da9588190abf2f96d3104edfb |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.