Triple
T30311016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E lucevan le stelle |
E770922
|
entity |
| Predicate | firstPerformanceOperaTitle |
P203679
|
FINISHED |
| Object | Tosca |
E269215
|
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: Tosca | Statement: [E lucevan le stelle, firstPerformanceOperaTitle, Tosca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformanceOperaTitle Context triple: [E lucevan le stelle, firstPerformanceOperaTitle, Tosca]
-
A.
firstPerformanceOpera
Indicates the relationship in which an opera work is presented in its first-ever performance.
-
B.
firstPerformanceInOpera
Indicates that an entity’s first-ever performance occurred in the context of an opera production.
-
C.
firstPerformanceTheatreWithOpera
Indicates that a theatre hosted its first performance that included an opera.
-
D.
firstPerformanceOperaYear
Indicates the year in which an opera was first performed.
-
E.
firstStagedOperaOf
Indicates that one opera is the first opera by a given composer or entity to have been staged or performed.
- F. None of above. chosen
Provenance (5 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01c51e2d088190b9dcce5b6de1cb9b |
completed | May 11, 2026, 12:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28fb8acf2c8190b337c4d3340bd3b6 |
completed | June 10, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_6a01c4c715a48190b7435de8a9d86fd4 |
completed | May 11, 2026, noon |
| PDg | Predicate description generation | batch_6a01c51ca9cc819082f3dac7cff17fc3 |
completed | May 11, 2026, 12:01 p.m. |
Created at: April 29, 2026, 7:50 p.m.