Triple
T26391852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Ours |
E663431
|
entity |
| Predicate | hasLiveAnimalPerformers |
P112240
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [L’Ours, hasLiveAnimalPerformers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiveAnimalPerformers Context triple: [L’Ours, hasLiveAnimalPerformers, true]
-
A.
hasLiveAnimalsOnStage
chosen
Indicates that a performance or event includes live animals physically present on the stage during the show.
-
B.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
C.
hasDancePerformancesBy
Indicates that one entity features or includes dance performances carried out by another entity.
-
D.
hasLiveMusic
Indicates that a place or event features live musical performances as part of its offerings.
-
E.
hasLivePerformanceStatus
Indicates whether an entity’s live performance is occurring, scheduled, completed, or otherwise characterized by a specific performance status.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 26, 2026, 11:26 p.m.