Triple

T10083991
Position Surface form Disambiguated ID Type / Status
Subject Cedric Daniels E213972 entity
Predicate mentorOf P7251 FINISHED
Object Kima Greggs E285658 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: Kima Greggs | Statement: [Cedric Daniels, mentorOf, Kima Greggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kima Greggs
Context triple: [Cedric Daniels, mentorOf, Kima Greggs]
  • A. Kima Greggs chosen
    Kima Greggs is a principled and sharp Baltimore police detective in the television series "The Wire," known for her dedication to her work and her role as one of the show's central moral anchors.
  • B. Kymberly Kalil
    Kymberly Kalil is an American actress known for her work in film and television and for being married to actor William Fichtner.
  • C. Melissa Gimble
    Melissa Gimble is one of the central protagonists of the musical comedy series "Schmigadoon!", a modern woman who finds herself trapped in a fantastical, Golden Age-style musical town.
  • D. Kelli Williams
    Kelli Williams is an American actress best known for her television roles in series such as "The Practice" and "Lie to Me."
  • E. Kelley O'Hara
    Kelley O'Hara is an American professional soccer player and World Cup–winning defender known for her versatility and long tenure with the U.S. women’s national team.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbac97ce2481908ea11d6290a9bf2f completed April 12, 2026, 2:30 p.m.
Created at: March 30, 2026, 9 p.m.