Triple

T3857040
Position Surface form Disambiguated ID Type / Status
Subject Pope Zosimus E90042 entity
Predicate honorificPrefix P536 FINISHED
Object Saint E134726 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: Saint | Statement: [Pope Zosimus, honorificPrefix, Saint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint
Context triple: [Pope Zosimus, honorificPrefix, Saint]
  • A. Saint chosen
    Saint is a title of veneration in Christianity given to individuals recognized for their exceptional holiness, virtue, and closeness to God.
  • B. St. Anthony
    St. Anthony is a small suburban city in Minnesota that forms part of the Minneapolis–Saint Paul metropolitan area.
  • C. Mari
    Mari is an ancient Mesopotamian city-state on the Euphrates River, renowned for its well-preserved palace complex and thousands of cuneiform tablets that illuminate early Syrian and Mesopotamian history.
  • D. Mari
    Mari is a Uralic language spoken by the Mari people, primarily in the Mari El Republic of Russia.
  • E. Mari
    Mari is a character in Paulo Coelho's novel "Veronika Decides to Die," portrayed as a fellow patient in the mental institution who struggles with anxiety and societal expectations.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec09312c81908ffd7441c83730c8 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.