Triple

T17981037
Position Surface form Disambiguated ID Type / Status
Subject Sri Mata E449600 entity
Predicate meaning P129 FINISHED
Object Holy Mother E220652 NE FINISHED

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: Holy Mother | Statement: [Sri Mata, meaning, Holy Mother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holy Mother
Context triple: [Sri Mata, meaning, Holy Mother]
  • A. Holy Mother chosen
    Holy Mother is the revered title of Sarada Devi, the spiritual consort of Sri Ramakrishna and a central mother-figure and saint in modern Hinduism and the Ramakrishna movement.
  • B. The Madonna
    The Madonna is a famous painting by Edvard Munch that portrays a sensual, psychologically intense interpretation of the Virgin Mary, blending themes of love, death, and spirituality.
  • C. Mother of Mercy
    Mother of Mercy is a revered Marian title emphasizing the Virgin Mary’s compassionate intercession and maternal care for humanity.
  • D. Sweet Mother
    Sweet Mother is a Brazilian film best known for featuring acclaimed actress Fernanda Montenegro in a poignant, character-driven role.
  • E. Our Lady
    Our Lady is a traditional Christian title of reverence for the Virgin Mary, the mother of Jesus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b20431588190a5fe2148a61de403 completed April 19, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03301b9b84819091daa756a0642fd2 completed May 12, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:22 a.m.