Triple

T22508755
Position Surface form Disambiguated ID Type / Status
Subject Goindwal E556459 entity
Predicate associatedWith P37 FINISHED
Object Guru Arjan 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: Guru Arjan | Statement: [Goindwal, associatedWith, Guru Arjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guru Arjan
Context triple: [Goindwal, associatedWith, Guru Arjan]
  • A. Guru Arjan chosen
    Guru Arjan was the fifth Sikh Guru, renowned for compiling the Adi Granth (the core of the Guru Granth Sahib) and for his influential devotional poetry in Punjabi.
  • B. Guru Ram Das
    Guru Ram Das was the fourth Sikh Guru, revered for his spiritual leadership and for laying the foundations of the city of Amritsar and its central shrine.
  • C. Guru Hargobind
    Guru Hargobind was the sixth Sikh Guru, known for militarizing the Sikh community, embodying the concept of miri-piri (temporal and spiritual authority), and laying foundations for Sikh martial tradition.
  • D. Guru Gobind Singh
    Guru Gobind Singh was the tenth Sikh Guru, a spiritual leader, warrior, poet, and philosopher who founded the Khalsa and finalized the Sikh scripture, the Guru Granth Sahib, as the eternal Guru.
  • E. Guru Singh
    Guru Singh is an actor best known for his role in the comedy film "Outsourced" and for appearances in various American television series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ebe5881908a22d519128415f2 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.