Triple
T17370346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telemark springar |
E422292
|
entity |
| Predicate | danceRoleStructure |
P32690
|
FINISHED |
| Object | leader and follower |
—
|
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: leader and follower | Statement: [Telemark springar, danceRoleStructure, leader and follower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: danceRoleStructure Context triple: [Telemark springar, danceRoleStructure, leader and follower]
-
A.
danceRole
chosen
Indicates that one entity has a specific role or function within a dance performed with or in relation to another entity.
-
B.
danceStructure
Indicates a structural or organizational relationship between elements within a dance, such as how movements, sections, or patterns are arranged and connected.
-
C.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
D.
theaterRole
Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
-
E.
talentShowRole
Indicates the specific function or position an entity holds within the context of a talent show (e.g., performer, judge, host).
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a68ff448190b505861e56df5b6d |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.