Triple

T12627901
Position Surface form Disambiguated ID Type / Status
Subject English National Opera E301563 entity
Predicate shortName P43 FINISHED
Object ENO
ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
 E992433 NE FINISHED

How this triple was built (4 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: ENO | Statement: [English National Opera, shortName, ENO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENO
Context triple: [English National Opera, shortName, ENO]
  • A. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • B. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • C. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • D. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • E. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: ENO
Triple: [English National Opera, shortName, ENO]
Generated description
ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENO
Target entity description: ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • A. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • B. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • C. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • D. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • E. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660bc541c8190a4d1d7a4cc959ecf completed May 2, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f6617997188190bfce14c54619af7f completed May 2, 2026, 8:41 p.m.
Created at: April 9, 2026, 5:15 p.m.