Triple
T19486194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenůfa |
E487516
|
entity |
| Predicate | hasReceptionContext |
P99589
|
FINISHED |
| Object | one of Janáček’s most acclaimed heroines |
—
|
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: one of Janáček’s most acclaimed heroines | Statement: [Jenůfa, hasReceptionContext, one of Janáček’s most acclaimed heroines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReceptionContext Context triple: [Jenůfa, hasReceptionContext, one of Janáček’s most acclaimed heroines]
-
A.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
B.
hasReceiver
Indicates that an entity serves as the recipient or target of something provided, sent, or directed by another entity.
-
C.
hasRecreationContext
Indicates that an entity is associated with a recreational setting, purpose, or usage context.
-
D.
workHasReception
chosen
Indicates that a work (such as a creative or scholarly work) has an associated reception, capturing how it has been received, evaluated, or responded to by audiences or critics.
-
E.
hasListeningContext
Indicates that an entity is associated with a particular listening situation or environment in which audio is being received or monitored.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343f46e88190b7ba65c210285bee |
completed | April 20, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.