Triple

T9422719
Position Surface form Disambiguated ID Type / Status
Subject Bernard of Italy E227194 entity
Predicate givenName P17 FINISHED
Object Bernard E24525 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: Bernard | Statement: [Bernard of Italy, givenName, Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernard
Context triple: [Bernard of Italy, givenName, Bernard]
  • A. Bernard chosen
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • B. Rudolph Bloom
    Rudolph Bloom is the father of Leopold Bloom in James Joyce’s novel "Ulysses," representing the protagonist’s Hungarian Jewish heritage and familial past.
  • C. Alain
    Alain is a masculine given name of French origin, derived from the Breton name Alan and widely used in French-speaking countries.
  • D. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • E. Gerald
    Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c27c8cc8190a11162c10c33b17e completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107d290148190855b8d50eb80c591 completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:48 p.m.