Triple

T18241415
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Bowen E436819 entity
Predicate givenName P17 FINISHED
Object Jimmy 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: Jimmy | Statement: [Jimmy Bowen, givenName, Jimmy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy
Context triple: [Jimmy Bowen, givenName, Jimmy]
  • A. Jimmy
    Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
  • B. Jimmy
    Jimmy is a timid, imaginative, and often melodramatic young boy from the animated series "Ed, Edd n Eddy," known for his close friendship with Sarah and frequent misadventures.
  • C. Jimmy
    "Jimmy" is a romantic show tune from the Broadway musical Thoroughly Modern Millie, sung by the title character as she reflects on her conflicted feelings for the man she loves.
  • D. Jimmy chosen
    Jimmy is a masculine given name, often a diminutive of James, commonly used in English-speaking countries.
  • E. Jimmy
    Jimmy is a supporting character in the 1980s crime drama series "The Equalizer," appearing in stories centered on vigilante justice and urban crime.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e387f481909d72574fb7d17923 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.