Triple

T7311855
Position Surface form Disambiguated ID Type / Status
Subject Cross of Valour E168108 entity
Predicate postNominalLetters P1600 FINISHED
Object CV
CV is the post-nominal abbreviation used to denote recipients of the Cross of Valour, a high-level decoration for extraordinary bravery.
 E656161 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: CV | Statement: [Cross of Valour, postNominalLetters, CV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CV
Context triple: [Cross of Valour, postNominalLetters, CV]
  • A. CV
    CV is a common abbreviation for Chula Vista, a coastal city in Southern California located just south of San Diego.
  • B. CV
    CV is the standard abbreviation for the Central Vermont Railway, a historic regional railroad that operated primarily in Vermont and neighboring areas.
  • C. C.V.
    C.V. is the autobiographical section of Stephen King’s book "On Writing," in which he recounts key experiences from his life that shaped him as a writer.
  • D. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • E. Portfolio
    Portfolio is a business-focused imprint of Penguin Random House known for publishing books on leadership, entrepreneurship, and innovation.
  • 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: CV
Triple: [Cross of Valour, postNominalLetters, CV]
Generated description
CV is the post-nominal abbreviation used to denote recipients of the Cross of Valour, a high-level decoration for extraordinary bravery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CV
Target entity description: CV is the post-nominal abbreviation used to denote recipients of the Cross of Valour, a high-level decoration for extraordinary bravery.
  • A. CV
    CV is a common abbreviation for Chula Vista, a coastal city in Southern California located just south of San Diego.
  • B. CV
    CV is the standard abbreviation for the Central Vermont Railway, a historic regional railroad that operated primarily in Vermont and neighboring areas.
  • C. C.V.
    C.V. is the autobiographical section of Stephen King’s book "On Writing," in which he recounts key experiences from his life that shaped him as a writer.
  • D. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • E. Portfolio
    Portfolio is a business-focused imprint of Penguin Random House known for publishing books on leadership, entrepreneurship, and innovation.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec00fef081909cb9768a70cabd80 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56b4178819087341903a168440b completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e69b51d88190a25fbcec7993654f completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e76f3cd88190957e096c81e6e803 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:02 p.m.