Triple

T78674
Position Surface form Disambiguated ID Type / Status
Subject Fitzgerald E1576 entity
Predicate hasVariant P455 FINISHED
Object FitzGerald E1576 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: FitzGerald | Statement: [Fitzgerald, hasVariant, FitzGerald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FitzGerald
Context triple: [Fitzgerald, hasVariant, FitzGerald]
  • A. McClintock
    McClintock is a surname most notably associated with Barbara McClintock, the pioneering American cytogeneticist and Nobel Prize laureate recognized for her discovery of genetic transposition.
  • B. Fitzgerald chosen
    Fitzgerald is the middle name of John F. Kennedy, the 35th president of the United States.
  • C. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • D. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • E. Excelsior
    Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f30e5848190a8edcb37c356ce0a completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255522b0081909f8a02667108a6d3 completed Feb. 28, 2026, 2:39 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.