Triple

T15537451
Position Surface form Disambiguated ID Type / Status
Subject Marya E370383 entity
Predicate relatedName P3889 FINISHED
Object Mariam E1146133 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: Mariam | Statement: [Marya, relatedName, Mariam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariam
Context triple: [Marya, relatedName, Mariam]
  • A. Mariam chosen
    Mariam is a feminine given name of Hebrew origin, commonly interpreted to mean "beloved," "wished-for child," or "rebellious."
  • B. Mariam Bibi
    Mariam Bibi is a prominent cultural figure from the Indian community in South Africa, recognized for her contributions to preserving and promoting Indian heritage in the country.
  • C. Mariamman
    Mariamman is a South Indian Hindu goddess primarily associated with rain, fertility, and the cure of diseases such as smallpox.
  • D. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • E. Mariam Bai
    Mariam Bai was a member of the prominent Jinnah family, historically notable in the context of South Asian politics and the creation of Pakistan.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:06 a.m.