Triple

T4332840
Position Surface form Disambiguated ID Type / Status
Subject Order of Saints Maurice and Lazarus E97393 entity
Predicate namedAfter P63 FINISHED
Object Saint Lazarus E104942 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 Lazarus | Statement: [Order of Saints Maurice and Lazarus, namedAfter, Saint Lazarus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Lazarus
Context triple: [Order of Saints Maurice and Lazarus, namedAfter, Saint Lazarus]
  • A. Lazarus of Bethany chosen
    Lazarus of Bethany is a New Testament figure whom Jesus famously raised from the dead, symbolizing resurrection and eternal life in Christian tradition.
  • B. Lazarus Salii
    Lazarus Salii was a Palauan politician who served as President of Palau during the late 1980s, playing a key role in the country’s early years of self-governance.
  • C. Lazare
    Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
  • D. Lazar
    Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
  • E. Lazarus
    Lazarus is the troubled, blues-playing ex-bluesman portrayed by Samuel L. Jackson in the 2006 Southern drama film "Black Snake Moan."
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514faaac819081475681fd10da24 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a307388190af4cb98b03e9656d completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.