Triple

T15148678
Position Surface form Disambiguated ID Type / Status
Subject Homiliary E361879 entity
Predicate hasSubject P450 FINISHED
Object Gospels E11929 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: Gospels | Statement: [Homiliary, hasSubject, Gospels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gospels
Context triple: [Homiliary, hasSubject, Gospels]
  • A. Gospels chosen
    The Gospels are the New Testament books that narrate the life, teachings, death, and resurrection of Jesus Christ.
  • B. Gospels and Acts
    Gospels and Acts is the New Testament section that narrates the life and teachings of Jesus Christ and the early history of the Christian church.
  • C. Les Quatre Évangiles
    Les Quatre Évangiles is a later multi-volume novel cycle by Émile Zola that continues his exploration of social, moral, and spiritual themes beyond the Rougon-Macquart series.
  • D. The Gospel
    The Gospel is the central Christian message of salvation through the life, death, and resurrection of Jesus Christ, as proclaimed in the New Testament.
  • E. The Gospel
    The Gospel is a notable work by Rob Hardy, likely a film or television project that showcases his style as a director and storyteller.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c934048190afac78a8023a544a completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff281848190a094bd697b19aaf3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.