Triple
T23340970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlioz’s Les Troyens à Carthage |
E591732
|
entity |
| Predicate | numberOfActsInParentOpera |
P12050
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Berlioz’s Les Troyens à Carthage, numberOfActsInParentOpera, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfActsInParentOpera Context triple: [Berlioz’s Les Troyens à Carthage, numberOfActsInParentOpera, 5]
-
A.
numberOfOperas
Indicates the total count of operas associated with a given entity (such as a person, organization, or catalog entry).
-
B.
estimatedNumberOfOperas
Indicates the approximate count of operas associated with an entity, rather than an exact, verified number.
-
C.
numberOfActs
chosen
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
D.
operaNumberInMozartsOutput
Indicates the ordinal position or catalog number assigned to an opera within the complete body of Mozart’s operatic works.
-
E.
operaNumberInVerdiOeuvre
Indicates the ordinal position of an opera within the complete body of operatic works composed by Verdi.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198329d9c8190992627afa9b54bed |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:18 p.m.