Triple

T21813605
Position Surface form Disambiguated ID Type / Status
Subject Saints Cosmas and Damian E538540 entity
Predicate givenName P17 FINISHED
Object Cosmas 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: Cosmas | Statement: [Saints Cosmas and Damian, givenName, Cosmas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmas
Context triple: [Saints Cosmas and Damian, givenName, Cosmas]
  • A. Cosmas chosen
    Cosmas is a Christian saint traditionally venerated as one of the twin physician-martyrs alongside his brother Damian.
  • B. Kosmas
    Kosmas is a traditional mountain village in the Parnon range of the southeastern Peloponnese in Greece, known for its scenic setting and historic stone architecture.
  • C. Agapius
    Agapius is traditionally regarded as one of the children of Saint Eustace in Christian hagiography.
  • D. Evaristus
    Evaristus was an early pope of the Catholic Church, traditionally regarded as the fifth Bishop of Rome and a martyr who led the Church in the late first and early second centuries.
  • E. Didymus
    Didymus is another name for the Apostle Thomas, one of Jesus Christ’s twelve original disciples in the New Testament.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc8e6808190bde4d0e0981e4117 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.