Triple

T8495441
Position Surface form Disambiguated ID Type / Status
Subject Gurdev Khush E201087 entity
Predicate familyName P18 FINISHED
Object Khush
Khush is the surname of Gurdev Khush, a prominent agronomist and plant breeder known for his contributions to the Green Revolution.
E737366 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: Khush | Statement: [Gurdev Khush, familyName, Khush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khush
Context triple: [Gurdev Khush, familyName, Khush]
  • A. Shush
    Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
  • B. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • C. Khubash
    Khubash is a town located within Saudi Arabia’s Najran Region in the southern part of the country.
  • D. Shwaas
    Shwaas is a critically acclaimed Marathi-language film known for its poignant portrayal of a grandfather’s struggle to save his grandson’s eyesight, which brought renewed national attention to Marathi cinema.
  • E. Koshish
    Koshish is a critically acclaimed 1972 Hindi film directed by Gulzar, known for its sensitive portrayal of a deaf-mute couple’s struggles and featuring a powerful performance by Jaya Bhaduri.
  • 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: Khush
Triple: [Gurdev Khush, familyName, Khush]
Generated description
Khush is the surname of Gurdev Khush, a prominent agronomist and plant breeder known for his contributions to the Green Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khush
Target entity description: Khush is the surname of Gurdev Khush, a prominent agronomist and plant breeder known for his contributions to the Green Revolution.
  • A. Shush
    Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
  • B. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • C. Khubash
    Khubash is a town located within Saudi Arabia’s Najran Region in the southern part of the country.
  • D. Shwaas
    Shwaas is a critically acclaimed Marathi-language film known for its poignant portrayal of a grandfather’s struggle to save his grandson’s eyesight, which brought renewed national attention to Marathi cinema.
  • E. Koshish
    Koshish is a critically acclaimed 1972 Hindi film directed by Gulzar, known for its sensitive portrayal of a deaf-mute couple’s struggles and featuring a powerful performance by Jaya Bhaduri.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57dbe488190af5f06faf862cd5d completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a6117988190b8c667d4263f3e86 completed April 2, 2026, 9:44 a.m.
NEDg Description generation batch_69ce3d0323248190a076a209df98c96c completed April 2, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d7909f48190a46f58fca75d7740 completed April 2, 2026, 9:57 a.m.
Created at: March 30, 2026, 6:13 p.m.