Triple

T5554793
Position Surface form Disambiguated ID Type / Status
Subject Archangel Cathedral, Moscow Kremlin E145611 entity
Predicate namedAfter P63 FINISHED
Object Archangel Michael E50376 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: Archangel Michael | Statement: [Archangel Cathedral, Moscow Kremlin, namedAfter, Archangel Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archangel Michael
Context triple: [Archangel Cathedral, Moscow Kremlin, namedAfter, Archangel Michael]
  • A. Saint Michael chosen
    Saint Michael is an archangel in Christian, Jewish, and Islamic traditions, revered as a protector, leader of the heavenly hosts, and vanquisher of evil.
  • B. Seraphim
    Seraphim are the highest-ranking class of angels in Christian angelology, traditionally associated with fiery devotion and the worship of God.
  • C. Raphael (archangel)
    Raphael is an archangel in Judeo-Christian tradition, often associated with healing and guidance, notably appearing in the deuterocanonical Book of Tobit.
  • D. Angel
    Angel is a given name used across various cultures, often associated with spiritual or celestial connotations.
  • E. Angel
    "Angel" is a 1937 romantic comedy film directed by Ernst Lubitsch, known for its sophisticated wit and starring Marlene Dietrich, Herbert Marshall, and Melvyn Douglas.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffaf4fc8190bf27014d21954a70 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d7658a481909e9e9b29df2b148e completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:36 p.m.