Triple
T28298467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriana Lecouvreur (Adriana) |
E713634
|
entity |
| Predicate | premiereOperaTheatre |
P130981
|
FINISHED |
| Object | Teatro Lirico di Milano |
—
|
NE NERFINISHED |
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: Teatro Lirico di Milano | Statement: [Adriana Lecouvreur (Adriana), premiereOperaTheatre, Teatro Lirico di Milano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiereOperaTheatre Context triple: [Adriana Lecouvreur (Adriana), premiereOperaTheatre, Teatro Lirico di Milano]
-
A.
premiereOpera
Indicates that an entity debuts or first publicly presents an opera work.
-
B.
premiereOperaPlace
chosen
Indicates the place where an opera was first premiered or publicly performed.
-
C.
premiereOperaDate
Indicates the calendar date on which an opera was first publicly premiered or performed.
-
D.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
E.
operaPremiereContext
Indicates the circumstances or setting (such as time, place, or event) in which an opera had its premiere performance.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 11:33 p.m.