Triple

T20341650
Position Surface form Disambiguated ID Type / Status
Subject Women in the New Testament E495753 entity
Predicate includesFigure P1393 FINISHED
Object Apphia NE NERFINISHED

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: Apphia | Statement: [Women in the New Testament, includesFigure, Apphia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apphia
Context triple: [Women in the New Testament, includesFigure, Apphia]
  • A. Apphia chosen
    Apphia is a Christian woman mentioned in the New Testament as one of the recipients of Paul’s Epistle to Philemon, traditionally thought to be a member of Philemon’s household, possibly his wife.
  • B. Atheras
    Atheras is a mountainous region on the Greek island of Ikaria, known for its rugged terrain and scenic landscapes.
  • C. Ahtena
    Ahtena is an Athabaskan-speaking Indigenous people of south-central Alaska, traditionally living around the Copper River basin.
  • D. Aytos
    Aytos is a small town in southeastern Bulgaria known as an administrative and economic center within Burgas Province.
  • E. Panthea
    Panthea is a key character in Percy Bysshe Shelley’s lyrical drama "Prometheus Unbound," serving as a devoted companion and spiritual intermediary who reflects and interprets Prometheus’s transformative vision.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67835f6e881908834dda06cf66c50 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.