Triple

T12868135
Position Surface form Disambiguated ID Type / Status
Subject B. M. Kaul E307774 entity
Predicate givenName P17 FINISHED
Object Brij Mohan
Brij Mohan is the given name of B. M. Kaul, an individual identifiable by the initials B.M. Kaul.
E1009574 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: Brij Mohan | Statement: [B. M. Kaul, givenName, Brij Mohan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brij Mohan
Context triple: [B. M. Kaul, givenName, Brij Mohan]
  • A. Bhajan Lal
    Bhajan Lal was a prominent Indian politician and influential leader of Haryana known for his long tenure in state politics and multiple terms as chief minister.
  • B. Babu Parmanand
    Babu Parmanand was an Indian politician who served as a prominent leader and administrator, including a term as a state governor.
  • C. Anant Singh
    Anant Singh is a prominent South African film producer of Indian origin, best known for producing critically acclaimed anti-apartheid and socially conscious films.
  • D. Ashok Kumar
    Ashok Kumar was a pioneering and acclaimed Indian film actor, often regarded as one of the first superstars of Hindi cinema.
  • E. Kim Mohan
    Kim Mohan was an American editor and game designer best known for his influential work on Dungeons & Dragons and other role-playing game publications.
  • 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: Brij Mohan
Triple: [B. M. Kaul, givenName, Brij Mohan]
Generated description
Brij Mohan is the given name of B. M. Kaul, an individual identifiable by the initials B.M. Kaul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brij Mohan
Target entity description: Brij Mohan is the given name of B. M. Kaul, an individual identifiable by the initials B.M. Kaul.
  • A. Bhajan Lal
    Bhajan Lal was a prominent Indian politician and influential leader of Haryana known for his long tenure in state politics and multiple terms as chief minister.
  • B. Babu Parmanand
    Babu Parmanand was an Indian politician who served as a prominent leader and administrator, including a term as a state governor.
  • C. Anant Singh
    Anant Singh is a prominent South African film producer of Indian origin, best known for producing critically acclaimed anti-apartheid and socially conscious films.
  • D. Ashok Kumar
    Ashok Kumar was a pioneering and acclaimed Indian film actor, often regarded as one of the first superstars of Hindi cinema.
  • E. Kim Mohan
    Kim Mohan was an American editor and game designer best known for his influential work on Dungeons & Dragons and other role-playing game publications.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54ee6c08190b59c610f6390366c completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a616f6e4819096c9850434882548 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a716bb2c81909dccc5ddbf3c92b5 completed May 3, 2026, 1:38 a.m.
Created at: April 9, 2026, 5:38 p.m.