Triple

T18592136
Position Surface form Disambiguated ID Type / Status
Subject Michael Sullivan E454393 entity
Predicate sharesGivenNameOriginWith P20785 FINISHED
Object Michael NE NERFINISHED

How this triple was built (3 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: Michael | Statement: [Michael Sullivan, sharesGivenNameOriginWith, Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael
Context triple: [Michael Sullivan, sharesGivenNameOriginWith, Michael]
  • A. Michael chosen
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • B. Michael
    "Michael" is a 1996 fantasy-comedy film starring John Travolta as an unconventional archangel visiting Earth.
  • C. Michael
    Michael is a central fictional character in the Australian television drama series "The Newsreader," which explores the personal and professional lives of journalists in the 1980s.
  • D. Michael
    Michael is a central figure in the crime drama "Sleepers," whose traumatic experiences and quest for justice drive much of the film’s emotional and moral conflict.
  • E. Mike
    Mike is the young boy protagonist of the 1992 family adventure film "Radio Flyer," which centers on his imaginative efforts to escape a troubled home life with his brother.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesGivenNameOriginWith
Context triple: [Michael Sullivan, sharesGivenNameOriginWith, Michael]
  • A. sharesGivenNameWith chosen
    Indicates that two entities have the same given (first) name.
  • B. sharesNameRootWith
    Indicates that two entities have names derived from the same linguistic root or base form.
  • C. sharesNameWith
    Indicates that two entities have the same name or an identical naming designation.
  • D. sharesUniverseWith
    Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
  • E. sharesHistoryWith
    Indicates that two entities have a common or overlapping past, such as shared experiences, events, or origins.
  • F. None of above.

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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69e478c98d4c81909d37a0e72c6e7bd0 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:44 a.m.