Triple
T13840901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Crazy Horse de Paris |
E332651
|
entity |
| Predicate | showStyle |
P27951
|
FINISHED |
| Object | highly choreographed group numbers |
—
|
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: highly choreographed group numbers | Statement: [Le Crazy Horse de Paris, showStyle, highly choreographed group numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showStyle Context triple: [Le Crazy Horse de Paris, showStyle, highly choreographed group numbers]
-
A.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
B.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
C.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
D.
exhibitStyle
chosen
Indicates that an entity displays, demonstrates, or embodies a particular style or manner of expression.
-
E.
isShowy
Indicates that something is flashy, attention-grabbing, or ostentatious in appearance or behavior.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.