Triple

T30570714
Position Surface form Disambiguated ID Type / Status
Subject Radhakrishnan: A Biography E778113 entity
Predicate hasBiographicalSubjectRole P175685 FINISHED
Object President of India NE NERFINISHED

How this triple was built (2 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: President of India | Statement: [Radhakrishnan: A Biography, hasBiographicalSubjectRole, President of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiographicalSubjectRole
Context triple: [Radhakrishnan: A Biography, hasBiographicalSubjectRole, President of India]
  • A. hasBiographicalSubjectOccupation
    Indicates that the biographical subject is or was engaged in the specified occupation or profession.
  • B. hasBiographicalRelation
    Indicates a relationship where one entity has a biographical connection to another, such as being the subject, author, or source of biographical information.
  • C. hasBiographicalSignificanceIn
    Indicates that something holds notable relevance or importance within the context of a particular person's life or biography.
  • D. hasBiographicalTheme
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • E. isBiographerOf
    Indicates that one person has written a biography about another person.
  • F. None of above. chosen

Provenance (4 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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
PDg Predicate description generation batch_69f6d6a482fc8190b526291cd99b8696 completed May 3, 2026, 5:01 a.m.
Created at: April 29, 2026, 8:22 p.m.