Triple
T38387053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menuet (from Suite bergamasque) |
E899605
|
entity |
| Predicate | hasDanceOrigin |
P163496
|
FINISHED |
| Object | courtly baroque minuet |
—
|
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: courtly baroque minuet | Statement: [Menuet (from Suite bergamasque), hasDanceOrigin, courtly baroque minuet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDanceOrigin Context triple: [Menuet (from Suite bergamasque), hasDanceOrigin, courtly baroque minuet]
-
A.
danceOrigin
chosen
Indicates that one entity is the place, culture, or context where a particular dance style or form originally developed or emerged.
-
B.
hasDanceInfluence
Indicates that one entity has contributed to shaping, inspiring, or affecting the dance style, technique, or choreography of another entity.
-
C.
hasDanceAssociation
Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
-
D.
hasTraditionalDance
Indicates that an entity is associated with, practices, or possesses a specific traditional dance.
-
E.
hasDanceMovement
Indicates that one entity includes, performs, or is characterized by a specific dance movement associated with another 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.