Triple

T6910139
Position Surface form Disambiguated ID Type / Status
Subject w1n5t0n E159908 entity
Predicate familyName P18 FINISHED
Object Yallow
Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
E628026 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: Yallow | Statement: [w1n5t0n, familyName, Yallow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yallow
Context triple: [w1n5t0n, familyName, Yallow]
  • A. Gelb
    Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • B. Žut
    Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
  • C. Yellow
    "Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
  • D. Geel
    Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
  • E. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • 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: Yallow
Triple: [w1n5t0n, familyName, Yallow]
Generated description
Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yallow
Target entity description: Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • A. Gelb
    Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • B. Žut
    Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
  • C. Yellow
    "Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
  • D. Geel
    Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
  • E. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c00e948190b103a2b2a2738bb1 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c749076f6c819088b0b40dd3e208b0 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c74c274258819099913ac5610730ac completed March 28, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69c74cca47b88190867550802db43ef0 completed March 28, 2026, 3:36 a.m.
Created at: March 27, 2026, 2:25 p.m.