Triple

T647819
Position Surface form Disambiguated ID Type / Status
Subject RAF Police E11279 entity
Predicate nickname P55 FINISHED
Object Snowdrops
Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
E81071 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: Snowdrops | Statement: [RAF Police, nickname, Snowdrops]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowdrops
Context triple: [RAF Police, nickname, Snowdrops]
  • A. Irises
    Irises is a famous 1889 oil painting by Vincent van Gogh depicting a vibrant cluster of blooming irises, celebrated for its expressive color and dynamic composition.
  • B. Edelweiss
    "Edelweiss" is a gentle, nostalgic song from the musical *The Sound of Music*, widely recognized as one of Richard Rodgers and Oscar Hammerstein II’s most beloved compositions.
  • C. Almond Blossoms
    Almond Blossoms is a series of bright, flowering almond tree paintings by Vincent van Gogh, celebrated for their delicate beauty and symbolic depiction of hope and new life.
  • D. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • E. White Horses
    White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
  • 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: Snowdrops
Triple: [RAF Police, nickname, Snowdrops]
Generated description
Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Snowdrops
Target entity description: Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
  • A. Irises
    Irises is a famous 1889 oil painting by Vincent van Gogh depicting a vibrant cluster of blooming irises, celebrated for its expressive color and dynamic composition.
  • B. Edelweiss
    "Edelweiss" is a gentle, nostalgic song from the musical *The Sound of Music*, widely recognized as one of Richard Rodgers and Oscar Hammerstein II’s most beloved compositions.
  • C. Almond Blossoms
    Almond Blossoms is a series of bright, flowering almond tree paintings by Vincent van Gogh, celebrated for their delicate beauty and symbolic depiction of hope and new life.
  • D. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • E. White Horses
    White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580373e3c81909aa9ff50f3b1e781 completed March 2, 2026, 12:19 p.m.
NEDg Description generation batch_69a5833e10bc819091dba5bb5ec9ea85 completed March 2, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69a583a35678819087d440a05c7b636d completed March 2, 2026, 12:33 p.m.
Created at: March 1, 2026, 7:36 p.m.