Triple

T9683227
Position Surface form Disambiguated ID Type / Status
Subject Bernie Federko E234338 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: [Bernie Federko, givenName, Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernard
Context triple: [Bernie Federko, 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccdbcc48190a4a9a70b3f419ac2 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910192e88190b10409ae62c1c948 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.