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.