Triple
T10810777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea for Two |
E255092
|
entity |
| Predicate | featuresDanceNumbers |
P35114
|
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: [Tea for Two, featuresDanceNumbers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDanceNumbers Context triple: [Tea for Two, featuresDanceNumbers, yes]
-
A.
featuresDanceNumber
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
B.
featuredInDanceNumbersWith
Indicates that two entities are prominently included together in one or more dance numbers within a performance or production.
-
C.
numberOfDances
Indicates the quantity or count of dances associated with a given entity or event.
-
D.
featuresDanceTeam
Indicates that something includes or presents a dance team as part of its composition, offering, or program.
-
E.
hasDanceSequences
chosen
Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b7bfac8190b6ae34144376d6ad |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.