Triple

T5360478
Position Surface form Disambiguated ID Type / Status
Subject Maria E103006 entity
Predicate etymologicallyDerivedFrom P453 FINISHED
Object Miryam E4648 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: Miryam | Statement: [Maria, etymologicallyDerivedFrom, Miryam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miryam
Context triple: [Maria, etymologicallyDerivedFrom, Miryam]
  • A. Miryam chosen
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • B. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • C. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • D. Elisheva
    Elisheva is a Hebrew female given name, traditionally interpreted as meaning "my God is an oath" or "God is my satisfaction."
  • E. Zipporah
    Zipporah is the Midianite wife of Moses in the Hebrew Bible, known for accompanying him to Egypt and intervening to save his life in a mysterious incident involving their son’s circumcision.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf291c89c8819084b9305c3bddc3c0 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.