Triple

T18010149
Position Surface form Disambiguated ID Type / Status
Subject Ioannes Damaskenos E430855 entity
Predicate notableWork P4 FINISHED
Object Fount of Knowledge 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: Fount of Knowledge | Statement: [Ioannes Damaskenos, notableWork, Fount of Knowledge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fount of Knowledge
Context triple: [Ioannes Damaskenos, notableWork, Fount of Knowledge]
  • A. Fount of Knowledge chosen
    Fount of Knowledge is a comprehensive theological and philosophical compendium by John of Damascus that systematically presents and defends Eastern Orthodox Christian doctrine.
  • B. Fountain of Knowledge
    Fountain of Knowledge is the popular nickname of Ekiti State in southwestern Nigeria, reflecting its reputation for high educational attainment and intellectualism.
  • C. Book of Knowledge
    The Book of Knowledge is the opening section of Maimonides’ Mishneh Torah, systematically presenting the foundational principles of Jewish belief and law.
  • D. Ocean of Knowledge
    Ocean of Knowledge is an honorific epithet highlighting Ishwar Chandra Vidyasagar’s vast learning and scholarship.
  • E. The Fount of Wisdom
    The Fount of Wisdom is a metaphorical or literary concept representing an abundant, authoritative source of deep understanding and insight.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51f0a488190bd34e1f9039f4dc9 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.