Triple

T207930
Position Surface form Disambiguated ID Type / Status
Subject Miryam E4648 entity
Predicate etymologicallyRelatedTo P5801 FINISHED
Object Miriam E4648 NE FINISHED

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: Miriam | Statement: [Miryam, etymologicallyRelatedTo, Miriam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam
Context triple: [Miryam, etymologicallyRelatedTo, Miriam]
  • A. Miryam chosen
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • B. Rebekah
    Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • C. Ruth
    Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
  • D. Ruth
    Ruth is a book of the Hebrew Bible/Old Testament that tells the story of a Moabite woman whose loyalty and faith lead to her becoming an ancestor of King David.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: etymologicallyRelatedTo
Context triple: [Miryam, etymologicallyRelatedTo, Miriam]
  • A. etymologicalLanguage
    Indicates the language from which a word or term is historically derived in its etymology.
  • B. etymologicalSource chosen
    Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
  • C. etymologyStatus
    Indicates the status or reliability classification of an etymological explanation for a term or name.
  • D. etymologyType
    Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
  • E. etymology
    Indicates the historical origin and development of a word or term, including its source language and form.
  • F. None of above.

Provenance (4 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e8b9b908190b69a3f0594b95f7e completed Feb. 28, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34764cb5c8190b9095a38866387d9 completed Feb. 28, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69a25b4e3c2881908d83e8218aa9f2d9 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.