Triple

T28298467
Position Surface form Disambiguated ID Type / Status
Subject Adriana Lecouvreur (Adriana) E713634 entity
Predicate premiereOperaTheatre P130981 FINISHED
Object Teatro Lirico di Milano
Teatro Lirico di Milano was a historic Milanese opera house known for hosting important premieres and contributing significantly to Italy’s operatic life.
 E1822140 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teatro Lirico di Milano
Triple: [Adriana Lecouvreur (Adriana), premiereOperaTheatre, Teatro Lirico di Milano]
Generated description
Teatro Lirico di Milano was a historic Milanese opera house known for hosting important premieres and contributing significantly to Italy’s operatic life.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a1cac2c337481908e812d756d245972 completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cacd14e048190b6a26e9b5750dff8 completed May 31, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadd09b908190afc24c7665a804c4 completed May 31, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 27, 2026, 11:33 p.m.