Triple

T19376341
Position Surface form Disambiguated ID Type / Status
Subject Church in Corinth E484677 entity
Predicate associatedWith P37 FINISHED
Object Crispus 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: Crispus | Statement: [Church in Corinth, associatedWith, Crispus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crispus
Context triple: [Church in Corinth, associatedWith, Crispus]
  • A. Crispus chosen
    Crispus was the eldest son of Roman emperor Constantine the Great, a prominent Caesar and military commander who was later executed under mysterious circumstances.
  • B. Thomas Diafoirus
    Thomas Diafoirus is a pedantic and comically inept young medical student in Molière’s play "Le Malade imaginaire," often mocked for his rigid scholasticism and lack of practical sense.
  • C. Gannicus
    Gannicus is a charismatic and fiercely skilled gladiator-turned-rebel leader in the television series "Spartacus: War of the Damned."
  • D. Brutus I
    Brutus I is a prominent Anti-Federalist essay that argues against the proposed U.S. Constitution by warning that a strong central government would endanger states’ rights and individual liberties.
  • E. Asa
    Asa is the given name of English actor Asa Butterfield, known for his roles in films like "Hugo" and the series "Sex Education."
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5c05c08190b91cb32fdb79813b completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.