Triple

T9873474
Position Surface form Disambiguated ID Type / Status
Subject T. N. Seshan E240016 entity
Predicate familyName P18 FINISHED
Object Seshan
Seshan is an Indian surname most prominently associated with T. N. Seshan, the influential former Chief Election Commissioner of India known for electoral reforms.
 E827417 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: Seshan | Statement: [T. N. Seshan, familyName, Seshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seshan
Context triple: [T. N. Seshan, familyName, Seshan]
  • A. Sheshatshiu
    Sheshatshiu is a principal Innu First Nations community located in central Labrador, Canada.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • D. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • E. Sangan
    Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
  • 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: Seshan
Triple: [T. N. Seshan, familyName, Seshan]
Generated description
Seshan is an Indian surname most prominently associated with T. N. Seshan, the influential former Chief Election Commissioner of India known for electoral reforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seshan
Target entity description: Seshan is an Indian surname most prominently associated with T. N. Seshan, the influential former Chief Election Commissioner of India known for electoral reforms.
  • A. Sheshatshiu
    Sheshatshiu is a principal Innu First Nations community located in central Labrador, Canada.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • D. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • E. Sangan
    Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f754008190abe3fe034b42908e completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eae2189c81909629e4bd46097051 completed April 5, 2026, 4:53 a.m.
NEDg Description generation batch_69d1ebec25508190ac4c0adb629f79b0 completed April 5, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d1ec65d5e881909e4caa180b0f8867 completed April 5, 2026, 5 a.m.
Created at: March 30, 2026, 8:37 p.m.