Triple

T16190470
Position Surface form Disambiguated ID Type / Status
Subject Cole Sprouse E392923 entity
Predicate hasInstagramAccount P57 FINISHED
Object @colesprouse
@colesprouse is the official Instagram account of actor and photographer Cole Sprouse, where he shares his creative work, personal photos, and humorous content.
E1199117 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: @colesprouse | Statement: [Cole Sprouse, hasInstagramAccount, @colesprouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: @colesprouse
Context triple: [Cole Sprouse, hasInstagramAccount, @colesprouse]
  • A. @columeastwood
    @columeastwood is the Twitter handle of Colum Eastwood, a Northern Irish politician and leader of the Social Democratic and Labour Party (SDLP).
  • B. @realcolliebuddz
    @realcolliebuddz is the official Instagram account of Collie Buddz, a Bermudian reggae and dancehall artist known for hits like "Come Around."
  • C. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • D. COS
    COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
  • E. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • 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: @colesprouse
Triple: [Cole Sprouse, hasInstagramAccount, @colesprouse]
Generated description
@colesprouse is the official Instagram account of actor and photographer Cole Sprouse, where he shares his creative work, personal photos, and humorous content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: @colesprouse
Target entity description: @colesprouse is the official Instagram account of actor and photographer Cole Sprouse, where he shares his creative work, personal photos, and humorous content.
  • A. @columeastwood
    @columeastwood is the Twitter handle of Colum Eastwood, a Northern Irish politician and leader of the Social Democratic and Labour Party (SDLP).
  • B. @realcolliebuddz
    @realcolliebuddz is the official Instagram account of Collie Buddz, a Bermudian reggae and dancehall artist known for hits like "Come Around."
  • C. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • D. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • E. COS
    COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d4ab8081909a02e5138b29b83b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0002419cec81909e3cec70968b65a4 completed May 10, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0002ad960c81909c308a12da9b65d6 completed May 10, 2026, 3:59 a.m.
Created at: April 10, 2026, 5:02 a.m.