Triple

T23544765
Position Surface form Disambiguated ID Type / Status
Subject Francis Sullivan E577860 entity
Predicate givenName P17 FINISHED
Object Francis — NE NERFINISHED

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: Francis | Statement: [Francis Sullivan, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francis
Context triple: [Francis Sullivan, givenName, Francis]
  • A. Francis
    Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
  • B. Francis chosen
    Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and associated with figures such as Saint Francis of Assisi and numerous historical and contemporary personalities.
  • C. Francis
    Francis is the formal given name of Frank Nighbor, a famed early 20th-century Canadian ice hockey player and Hall of Famer.
  • D. Francis
    Francis is the middle name of Rocco Francis Marchegiano, better known as the legendary American heavyweight boxing champion Rocky Marciano.
  • E. Francis
    Francis is the given first name of English actor, professional wrestler, and stuntman Pat Roach.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1ef55c8190a93c33e704ec3b5a completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:11 p.m.