Triple
T27775933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Honeymoon Tour |
E699184
|
entity |
| Predicate | includesCostumeChanges |
P196777
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Honeymoon Tour, includesCostumeChanges, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCostumeChanges Context triple: [The Honeymoon Tour, includesCostumeChanges, yes]
-
A.
hasAlterEgoCostume
Indicates that an entity has a distinct costume specifically associated with its alter ego identity.
-
B.
costumeFeatures
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
-
C.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
D.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
E.
costumeContext
Indicates the situational or narrative context in which a costume is used, such as the event, setting, or role it is associated with.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
| PDg | Predicate description generation | batch_69fe68a385f48190b942700e3eddc9b6 |
completed | May 8, 2026, 10:50 p.m. |
Created at: April 27, 2026, 5:06 p.m.