Triple

T6977716
Position Surface form Disambiguated ID Type / Status
Subject Prem Kumar Sahgal E161755 entity
Predicate givenName P17 FINISHED
Object Prem
Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
 E632750 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: Prem | Statement: [Prem Kumar Sahgal, givenName, Prem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prem
Context triple: [Prem Kumar Sahgal, givenName, Prem]
  • A. Pres
    Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
  • B. Per
    Per is a Scandinavian masculine given name, commonly used in Norway, Sweden, and Denmark as a form of Peter.
  • C. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. Pre
    Pre is the famous nickname of Steve Prefontaine, the iconic American middle- and long-distance runner known for his aggressive racing style and role in popularizing running in the 1970s.
  • 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: Prem
Triple: [Prem Kumar Sahgal, givenName, Prem]
Generated description
Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prem
Target entity description: Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • A. Pres
    Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
  • B. Per
    Per is a Scandinavian masculine given name, commonly used in Norway, Sweden, and Denmark as a form of Peter.
  • C. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. Pre
    Pre is the famous nickname of Steve Prefontaine, the iconic American middle- and long-distance runner known for his aggressive racing style and role in popularizing running in the 1970s.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761af5bb48190af430e961efb34fb completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c762cd5f388190980808321296abd3 completed March 28, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69c763beb91881909e561aa5715a6976 completed March 28, 2026, 5:14 a.m.
Created at: March 27, 2026, 2:31 p.m.