Triple

T8511801
Position Surface form Disambiguated ID Type / Status
Subject Tom Wisdom E201469 entity
Predicate portrayed P1668 FINISHED
Object Archangel Michael in Dominion 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 in Dominion | Statement: [Tom Wisdom, portrayed, Archangel Michael in Dominion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archangel Michael in Dominion
Context triple: [Tom Wisdom, portrayed, Archangel Michael in Dominion]
  • 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. Arcángel
    Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
  • C. Seraphim
    Seraphim are the highest-ranking class of angels in Christian angelology, traditionally associated with fiery devotion and the worship of God.
  • D. Angel
    An angel is a spiritual being found in various religious traditions, typically depicted as a messenger or servant of the divine.
  • E. Angel
    Angel is a given name used across various cultures, often associated with spiritual or celestial connotations.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60b0d4c8190812ddbc1c17389c8 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e47542c8190af93dca3ce16a04b completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:15 p.m.