Triple
T30691900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Tricorne |
E781347
|
entity |
| Predicate | firstChoreographer |
P11856
|
FINISHED |
| Object | Léonide Massine |
E219586
|
NE 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: Léonide Massine | Statement: [Le Tricorne, firstChoreographer, Léonide Massine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChoreographer Context triple: [Le Tricorne, firstChoreographer, Léonide Massine]
-
A.
choreographer
chosen
Indicates that one entity is the person who designs and arranges the dance or movement sequences performed by another entity.
-
B.
choreographerBirthName
Indicates the full personal name a choreographer was given at birth, as distinct from any later or professional names.
-
C.
choreographedTo
Indicates that one action, movement, or sequence has been deliberately designed or arranged to align in timing, pattern, or structure with another.
-
D.
choreographedIn
Indicates that an entity (typically a choreographer or group) created or arranged the choreography for a performance, work, or event in a specified context or production.
-
E.
hasNotableChoreographerAssociation
Indicates a relationship where an entity is significantly associated with a particular choreographer, such as through collaboration, influence, or dedicated work.
- F. None of above.
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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0316136a14819085bb88563d5abc42 |
completed | May 12, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28e447f6888190a992111b2f28897d |
completed | June 10, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_6a03158a962c81909f17d58197f6ba00 |
completed | May 12, 2026, 11:56 a.m. |
Created at: April 29, 2026, 8:33 p.m.