Triple

T815127
Position Surface form Disambiguated ID Type / Status
Subject Matthew Bible E17635 entity
Predicate textSourceHistoricalBooks P10578 FINISHED
Object William Tyndale’s historical books translation LITERAL 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: William Tyndale’s historical books translation | Statement: [Matthew Bible, textSourceHistoricalBooks, William Tyndale’s historical books translation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textSourceHistoricalBooks
Context triple: [Matthew Bible, textSourceHistoricalBooks, William Tyndale’s historical books translation]
  • A. historicalScript
    Indicates that an entity is or was written in, or otherwise associated with, a particular historical writing system or script.
  • B. literarySource chosen
    Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
  • C. writingMediumHistorical
    Indicates that an entity historically used a particular medium or material as the means or surface for writing.
  • D. historicalReference
    Indicates that one entity refers to, cites, or alludes to another entity from an earlier time or historical context.
  • E. historicalForm
    Indicates that one entity is an earlier or historically attested form or variant of another entity.
  • F. None of above.

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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5035608190bff5f3843b75e662 completed March 1, 2026, 9:10 p.m.
PD Predicate disambiguation batch_69a4aa756920819080ae82948974c876 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.