Triple

T168064
Position Surface form Disambiguated ID Type / Status
Subject Amartya Sen E3058 entity
Predicate familyName P18 FINISHED
Object Sen
Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
 E20968 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: Sen | Statement: [Amartya Sen, familyName, Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sen
Context triple: [Amartya Sen, familyName, Sen]
  • A. Neal
    Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • B. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Sununu
    Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
  • E. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • 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: Sen
Triple: [Amartya Sen, familyName, Sen]
Generated description
Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sen
Target entity description: Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
  • A. Neal
    Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • B. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Sununu
    Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
  • E. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b58efc8190959c86f73d67b744 completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f8bf748190b2752f250a63d8e3 completed Feb. 28, 2026, 12:35 p.m.
NEDg Description generation batch_69a2e16a3c088190a7ed30c60da89e6e completed Feb. 28, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69a2e2a9c8608190a65a4a3b80cd6970 completed Feb. 28, 2026, 12:42 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.