Triple

T9255940
Position Surface form Disambiguated ID Type / Status
Subject Gnaeus (praenomen) E222442 entity
Predicate shortForm P43 FINISHED
Object Cn.
Cn. is the standard Latin abbreviation for the ancient Roman praenomen (given name) Gnaeus.
 E789025 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: Cn. | Statement: [Gnaeus (praenomen), shortForm, Cn.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cn.
Context triple: [Gnaeus (praenomen), shortForm, Cn.]
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • C. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • D. CNR
    CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
  • E. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • 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: Cn.
Triple: [Gnaeus (praenomen), shortForm, Cn.]
Generated description
Cn. is the standard Latin abbreviation for the ancient Roman praenomen (given name) Gnaeus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cn.
Target entity description: Cn. is the standard Latin abbreviation for the ancient Roman praenomen (given name) Gnaeus.
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • C. CNR
    CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
  • D. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • E. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b3c314819096632b8263288aae completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bde36688190bf66669f585dcee7 completed April 4, 2026, 5:04 a.m.
NEDg Description generation batch_69d09d5047e8819082dbb2e44547b41c completed April 4, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69d09dec544c819095e2109d5e1671d3 completed April 4, 2026, 5:13 a.m.
Created at: March 30, 2026, 7:32 p.m.