Triple

T9621451
Position Surface form Disambiguated ID Type / Status
Subject Sari (surname) E232349 entity
Predicate hasVariant P455 FINISHED
Object Sarı
Sarı is a Turkish surname derived from a word meaning "yellow" or "blond," commonly used for people with light-colored hair or complexion.
 E810197 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: Sarı | Statement: [Sari (surname), hasVariant, Sarı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarı
Context triple: [Sari (surname), hasVariant, Sarı]
  • 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. Yallow
    Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • D. Geel
    Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
  • E. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • 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: Sarı
Triple: [Sari (surname), hasVariant, Sarı]
Generated description
Sarı is a Turkish surname derived from a word meaning "yellow" or "blond," commonly used for people with light-colored hair or complexion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarı
Target entity description: Sarı is a Turkish surname derived from a word meaning "yellow" or "blond," commonly used for people with light-colored hair or complexion.
  • 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. Yallow
    Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • D. Geel
    Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
  • E. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad3a8d88190b1414aa676d82f36 completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1796ced5c8190a3f275e03b481a96 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a5df01081909f20c4a722cef83d completed April 4, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69d17adb55648190b01060ade60b0fde completed April 4, 2026, 8:55 p.m.
Created at: March 30, 2026, 8:10 p.m.