Triple

T10807577
Position Surface form Disambiguated ID Type / Status
Subject Saha E255007 entity
Predicate isEtymologicallyRelatedTo P28322 FINISHED
Object Sahoo
Sahoo is an Indian surname, particularly common in eastern India, associated with various communities and often linked to mercantile or administrative occupations.
E888030 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: Sahoo | Statement: [Saha, isEtymologicallyRelatedTo, Sahoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahoo
Context triple: [Saha, isEtymologicallyRelatedTo, Sahoo]
  • A. Sohan
    Sohan is a masculine given name of Indian origin, commonly used in South Asia.
  • B. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • C. Bhanu
    Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
  • D. Gopal
    Gopal is the given name of Gopal Krishna Gokhale, a prominent Indian political leader and social reformer of the early 20th century.
  • E. Simhadri
    Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
  • 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: Sahoo
Triple: [Saha, isEtymologicallyRelatedTo, Sahoo]
Generated description
Sahoo is an Indian surname, particularly common in eastern India, associated with various communities and often linked to mercantile or administrative occupations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sahoo
Target entity description: Sahoo is an Indian surname, particularly common in eastern India, associated with various communities and often linked to mercantile or administrative occupations.
  • A. Sohan
    Sohan is a masculine given name of Indian origin, commonly used in South Asia.
  • B. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • C. Bhanu
    Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
  • D. Gopal
    Gopal is the given name of Gopal Krishna Gokhale, a prominent Indian political leader and social reformer of the early 20th century.
  • E. Simhadri
    Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b506488190921e6a1f4168dd9e completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8513fe0881909d6833c85aac03a8 completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:18 p.m.