Triple

T11210314
Position Surface form Disambiguated ID Type / Status
Subject ENS Paris E265287 entity
Predicate shortName P43 FINISHED
Object ENS
ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
 E911970 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: ENS | Statement: [ENS Paris, shortName, ENS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENS
Context triple: [ENS Paris, shortName, ENS]
  • 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. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • D. SEN
    SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
  • E. Ent
    An Ent is a giant, ancient, tree-like guardian of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
  • 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: ENS
Triple: [ENS Paris, shortName, ENS]
Generated description
ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENS
Target entity description: ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
  • 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. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • D. SEN
    SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
  • E. Ent
    An Ent is a giant, ancient, tree-like guardian of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49747ec288190bc3e826b6de7f6f2 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.