Triple

T5373387
Position Surface form Disambiguated ID Type / Status
Subject Protestant Bible E108903 entity
Predicate containsBook P5478 FINISHED
Object Numbers E19391 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: Numbers | Statement: [Protestant Bible, containsBook, Numbers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numbers
Context triple: [Protestant Bible, containsBook, Numbers]
  • A. Numbers chosen
    Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
  • B. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • C. Numbers series
    Numbers series is a set of iconic numeral-themed artworks by American pop artist Robert Indiana, reflecting his bold graphic style and interest in language and symbolism.
  • D. Numbers in Color
    Numbers in Color is a 1958–59 encaustic painting by Jasper Johns that layers a grid of numerals in vivid, textured color, exemplifying his exploration of everyday symbols in American art.
  • E. Numberwang
    Numberwang is a surreal, fast-paced parody of television quiz shows from the British comedy duo Mitchell and Webb, known for its nonsensical rules and absurd humor.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86abc1e88190ad08279c3bf238e5 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf293850c48190bd0cdab64368157f completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.