Triple

T2625739
Position Surface form Disambiguated ID Type / Status
Subject John Ruskin E59112 entity
Predicate influencedBy P9 FINISHED
Object Bible E695 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: Bible | Statement: [John Ruskin, influencedBy, Bible]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bible
Context triple: [John Ruskin, influencedBy, Bible]
  • A. Bible chosen
    The Bible is the central sacred scripture of Christianity, comprising the Old and New Testaments and serving as the foundational text for Christian belief and practice.
  • B. Ga Bible
    Ga Bible is the Christian scriptures translated into the Ga language, used by Ga-speaking communities for worship, study, and religious instruction.
  • C. Word of God
    The Word of God is a Christological title that identifies Jesus Christ as the divine self-revelation and ultimate expression of God’s will and truth.
  • D. Gospels
    The Gospels are the New Testament books that narrate the life, teachings, death, and resurrection of Jesus Christ.
  • E. Exposition of the Old and New Testaments
    Exposition of the Old and New Testaments is an extensive 18th-century Calvinist Bible commentary by theologian John Gill, covering every book of Scripture with detailed verse-by-verse analysis.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b1bd348190a4be25caa82d2eb1 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b71950819084432017b9d8dc20 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.