Triple

T25999890
Position Surface form Disambiguated ID Type / Status
Subject God the Father with SS. Mary Magdalene and Catherine of Siena E646590 entity
Predicate flankingFigures P20134 FINISHED
Object Catherine of Siena 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: Catherine of Siena | Statement: [God the Father with SS. Mary Magdalene and Catherine of Siena, flankingFigures, Catherine of Siena]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: flankingFigures
Context triple: [God the Father with SS. Mary Magdalene and Catherine of Siena, flankingFigures, Catherine of Siena]
  • A. allianceFlank
    Indicates a cooperative maneuver where allied entities position themselves on the side of a common target or objective to gain a tactical advantage.
  • B. liesOnFlankOf chosen
    Indicates that one entity is positioned along the side or lateral edge of another entity.
  • C. frontLineBetween
    Indicates that a boundary or line of direct confrontation exists separating two opposing sides or regions.
  • D. encircledForce
    Indicates that a military force is surrounded by enemy units, cutting off its movement or escape routes.
  • E. tacticalFormation
    Indicates a specific strategic arrangement or positioning of entities relative to one another to achieve a tactical objective.
  • F. None of above.

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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6057378288190ac74ef426f9512e3 completed May 2, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69f5aff889988190ad10bcf1a280f717 completed May 2, 2026, 8:04 a.m.
Created at: April 22, 2026, 8:58 a.m.