Triple

T17276855
Position Surface form Disambiguated ID Type / Status
Subject Chief Justice of Bermuda E419413 entity
Predicate officeHoldersInclude P537 FINISHED
Object Narinder Hargun
Narinder Hargun is a Bermudian jurist who has served as the Chief Justice and head of the judiciary of Bermuda.
E1270705 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: Narinder Hargun | Statement: [Chief Justice of Bermuda, officeHoldersInclude, Narinder Hargun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narinder Hargun
Context triple: [Chief Justice of Bermuda, officeHoldersInclude, Narinder Hargun]
  • A. Guljit Bindra
    Guljit Bindra is a screenwriter best known for co-writing the hit British-Indian sports comedy-drama film "Bend It Like Beckham."
  • B. Surinderpal Rathor
    Surinderpal Rathor is a Canadian municipal politician who serves as the mayor of Williams Lake, British Columbia.
  • C. Jarnail Singh
    Jarnail Singh was the birth name of Giani Zail Singh, an Indian politician who served as the seventh President of India from 1982 to 1987.
  • D. Kishan Singh Sandhu
    Kishan Singh Sandhu was an Indian revolutionary and political activist best known as the father of freedom fighter Bhagat Singh.
  • E. Satinder Singh
    Satinder Singh is a computer scientist and researcher known for his contributions to reinforcement learning and artificial intelligence.
  • 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: Narinder Hargun
Triple: [Chief Justice of Bermuda, officeHoldersInclude, Narinder Hargun]
Generated description
Narinder Hargun is a Bermudian jurist who has served as the Chief Justice and head of the judiciary of Bermuda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Narinder Hargun
Target entity description: Narinder Hargun is a Bermudian jurist who has served as the Chief Justice and head of the judiciary of Bermuda.
  • A. Guljit Bindra
    Guljit Bindra is a screenwriter best known for co-writing the hit British-Indian sports comedy-drama film "Bend It Like Beckham."
  • B. Surinderpal Rathor
    Surinderpal Rathor is a Canadian municipal politician who serves as the mayor of Williams Lake, British Columbia.
  • C. Jarnail Singh
    Jarnail Singh was the birth name of Giani Zail Singh, an Indian politician who served as the seventh President of India from 1982 to 1987.
  • D. Kishan Singh Sandhu
    Kishan Singh Sandhu was an Indian revolutionary and political activist best known as the father of freedom fighter Bhagat Singh.
  • E. Satinder Singh
    Satinder Singh is a computer scientist and researcher known for his contributions to reinforcement learning and artificial intelligence.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43326ec908190934a858c30cca880 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b80efe08819099c97fbd1caf91ed completed May 11, 2026, 11:05 a.m.
NEDg Description generation batch_6a01b8a74f9881909eb1d5185f72dd0b completed May 11, 2026, 11:08 a.m.
NED2 Entity disambiguation (via description) batch_6a01b91205048190a284c301e9cf051e completed May 11, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:40 a.m.