Triple

T1599776
Position Surface form Disambiguated ID Type / Status
Subject Saint Timothy E34364 entity
Predicate mother P120 FINISHED
Object Eunice E108821 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: Eunice | Statement: [Saint Timothy, mother, Eunice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eunice
Context triple: [Saint Timothy, mother, Eunice]
  • A. Eunice chosen
    Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
  • B. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • C. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • D. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • E. Hera Gamelia
    Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094a27908190bf0d9b5d43617192 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c1d9ac819085e497b630a99d96 completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:28 p.m.