Triple

T12441420
Position Surface form Disambiguated ID Type / Status
Subject Niven E297279 entity
Predicate hasVariant P455 FINISHED
Object Nivin
Nivin is a given name that appears as a variant spelling of the name Niven.
 E984347 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: Nivin | Statement: [Niven, hasVariant, Nivin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nivin
Context triple: [Niven, hasVariant, Nivin]
  • A. Nihalani
    Nihalani is an Indian film director recognized for his influential contributions to the country's parallel cinema movement.
  • B. Avani
    Avani is the fifth month of the traditional Tamil calendar, typically corresponding to mid-August to mid-September and associated with several important Hindu festivals and observances.
  • C. Kovai
    Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
  • D. Shabana
    Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
  • E. Naseem
    Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
  • 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: Nivin
Triple: [Niven, hasVariant, Nivin]
Generated description
Nivin is a given name that appears as a variant spelling of the name Niven.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nivin
Target entity description: Nivin is a given name that appears as a variant spelling of the name Niven.
  • A. Nihalani
    Nihalani is an Indian film director recognized for his influential contributions to the country's parallel cinema movement.
  • B. Avani
    Avani is the fifth month of the traditional Tamil calendar, typically corresponding to mid-August to mid-September and associated with several important Hindu festivals and observances.
  • C. Kovai
    Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
  • D. Shabana
    Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
  • E. Naseem
    Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8ecb6c8190a19cbf9de31cabbd completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0ea1e48190a11cf94797290156 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f64010a1348190afaf7b95b8f146b5 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f640c33d948190ad8f9885f90786d7 completed May 2, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:55 p.m.