Triple

T18644174
Position Surface form Disambiguated ID Type / Status
Subject Mata Amritanandamayi E455762 entity
Predicate alsoKnownAs P39 FINISHED
Object Hugging Saint — NE NERFINISHED

How this triple was built (3 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: Hugging Saint | Statement: [Mata Amritanandamayi, alsoKnownAs, Hugging Saint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hugging Saint
Context triple: [Mata Amritanandamayi, alsoKnownAs, Hugging Saint]
  • A. Smothered in Hugs
    "Smothered in Hugs" is a fan-favorite indie rock track by Guided by Voices, known for its lo-fi production and emotional, anthemic chorus.
  • B. The Holy Bunch
    The Holy Bunch is an experimental film by German filmmaker Heinz Emigholz, known for its unconventional narrative structure and distinctive visual style.
  • C. The Saint
    The Saint is one of the short stories in Gabriel García Márquez’s collection "Strange Pilgrims," exploring themes of faith, miracles, and human vulnerability.
  • D. The Saint
    The Saint is a 1997 action thriller film starring Val Kilmer as a master thief and master of disguise, loosely based on the classic character created by Leslie Charteris.
  • E. The Saint
    The Saint is a British mystery spy thriller television series, based on Leslie Charteris's character Simon Templar, that originally aired in the 1960s and starred Roger Moore as a suave, Robin Hood–like adventurer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hugging Saint
Target entity description: Hugging Saint is the popular epithet of Mata Amritanandamayi, an Indian spiritual leader renowned worldwide for her compassionate embrace darshans and extensive humanitarian work.
  • A. Smothered in Hugs
    "Smothered in Hugs" is a fan-favorite indie rock track by Guided by Voices, known for its lo-fi production and emotional, anthemic chorus.
  • B. The Holy Bunch
    The Holy Bunch is an experimental film by German filmmaker Heinz Emigholz, known for its unconventional narrative structure and distinctive visual style.
  • C. The Saint
    The Saint is one of the short stories in Gabriel García Márquez’s collection "Strange Pilgrims," exploring themes of faith, miracles, and human vulnerability.
  • D. The Saint
    The Saint is a 1997 action thriller film starring Val Kilmer as a master thief and master of disguise, loosely based on the classic character created by Leslie Charteris.
  • E. The Saint
    The Saint is a British mystery spy thriller television series, based on Leslie Charteris's character Simon Templar, that originally aired in the 1960s and starred Roger Moore as a suave, Robin Hood–like adventurer.
  • F. None of above. chosen

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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.