Triple
T7208858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higher Truth tour |
E148746
|
entity |
| Predicate | hasSetType |
P16808
|
FINISHED |
| Object | solo acoustic performance |
—
|
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: solo acoustic performance | Statement: [Higher Truth tour, hasSetType, solo acoustic performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSetType Context triple: [Higher Truth tour, hasSetType, solo acoustic performance]
-
A.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
hasKeyType
Indicates that an entity possesses or is associated with a specific category or type of key.
-
C.
hasStandardType
Indicates that something conforms to or is categorized under a defined standard classification or type.
-
D.
hasPropertyType
Indicates that an entity possesses or is associated with a specific type or category of property.
-
E.
hasCurrentType
Indicates that an entity currently possesses or is classified under a specific type or category, as opposed to past or potential types.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96ae4dc8190b0b9e064ff968c10 |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.