Triple
T34337710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Liberation Tour |
E881197
|
entity |
| Predicate | featuresCostumeChanges |
P196777
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [The Liberation Tour, featuresCostumeChanges, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCostumeChanges Context triple: [The Liberation Tour, featuresCostumeChanges, multiple]
-
A.
includesCostumeChanges
chosen
Indicates that the event, performance, or production involves one or more changes of costume during its course.
-
B.
costumeFeatures
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
C.
hasAlterEgoCostume
Indicates that an entity has a distinct costume specifically associated with its alter ego identity.
-
D.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
E.
numberOfCostumes
Indicates the total count of costumes associated with or used by a given entity.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a03173dd4988190a38175b63cba9f09 |
completed | May 12, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_6a031700ade88190afd217d5966b03b4 |
completed | May 12, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:58 a.m.