Triple

T14801777
Position Surface form Disambiguated ID Type / Status
Subject University of Calicut E347925 entity
Predicate viceChancellor P142 FINISHED
Object M. K. Jayaraj
M. K. Jayaraj is an Indian academic and administrator who has served as the vice-chancellor of the University of Calicut in Kerala.
E1120798 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: M. K. Jayaraj | Statement: [University of Calicut, viceChancellor, M. K. Jayaraj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M. K. Jayaraj
Context triple: [University of Calicut, viceChancellor, M. K. Jayaraj]
  • A. V. T. Vijayan
    V. T. Vijayan is an Indian film editor best known for his acclaimed work in Tamil cinema, including the classic crime drama "Nayakan."
  • B. M. Sasikumar
    M. Sasikumar is an Indian filmmaker and actor best known for his critically acclaimed Tamil film "Subramaniapuram," which he directed and starred in.
  • C. Harris Jayaraj
    Harris Jayaraj is a prominent Indian film composer best known for his melodious and innovative soundtracks in Tamil cinema.
  • D. M. T. Vasudevan Nair
    M. T. Vasudevan Nair is a renowned Indian writer and filmmaker, celebrated especially for his influential Malayalam novels and screenplays.
  • E. Mammootty
    Mammootty is a legendary Indian film actor and Malayalam cinema icon renowned for his versatile performances across hundreds of films and multiple decades.
  • 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: M. K. Jayaraj
Triple: [University of Calicut, viceChancellor, M. K. Jayaraj]
Generated description
M. K. Jayaraj is an Indian academic and administrator who has served as the vice-chancellor of the University of Calicut in Kerala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M. K. Jayaraj
Target entity description: M. K. Jayaraj is an Indian academic and administrator who has served as the vice-chancellor of the University of Calicut in Kerala.
  • A. V. T. Vijayan
    V. T. Vijayan is an Indian film editor best known for his acclaimed work in Tamil cinema, including the classic crime drama "Nayakan."
  • B. M. Sasikumar
    M. Sasikumar is an Indian filmmaker and actor best known for his critically acclaimed Tamil film "Subramaniapuram," which he directed and starred in.
  • C. Harris Jayaraj
    Harris Jayaraj is a prominent Indian film composer best known for his melodious and innovative soundtracks in Tamil cinema.
  • D. M. T. Vasudevan Nair
    M. T. Vasudevan Nair is a renowned Indian writer and filmmaker, celebrated especially for his influential Malayalam novels and screenplays.
  • E. Mammootty
    Mammootty is a legendary Indian film actor and Malayalam cinema icon renowned for his versatile performances across hundreds of films and multiple decades.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf30d044819082ac038e06481aab completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c4f690819087504fcfd2df8ba3 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe264b234881909903ebfc1039ec72 completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26ca706881908fe0da780bd9f691 completed May 8, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:31 a.m.