Triple

T16523187
Position Surface form Disambiguated ID Type / Status
Subject Annunciation mosaic E401370 entity
Predicate hasFigure P37076 FINISHED
Object approaching angel Gabriel E64672 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: approaching angel Gabriel | Statement: [Annunciation mosaic, hasFigure, approaching angel Gabriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: approaching angel Gabriel
Context triple: [Annunciation mosaic, hasFigure, approaching angel Gabriel]
  • A. 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.
  • B. angel chosen
    An angel is a supernatural being or messenger of God found in various religious traditions, often depicted as a powerful, benevolent spirit that interacts with humans.
  • C. Al the angel
    Al the angel is a humorous, kind-hearted celestial being who helps a struggling baseball team in the family sports fantasy film "Angels in the Outfield."
  • D. Anděl
    Anděl is a major Prague Metro station and busy transport hub located in the Smíchov district of the city.
  • E. Al Gabriele
    Al Gabriele was a Golden Age American comic book artist best known for co-creating the superheroine Miss America for Timely Comics, the predecessor of Marvel Comics.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed2622c8190b6429a49ca92284a completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608b7f6081909912dd575979f8d7 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.