Triple

T13600922
Position Surface form Disambiguated ID Type / Status
Subject Kala E324937 entity
Predicate hasTrack P3284 FINISHED
Object Jimmy E667489 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: Jimmy | Statement: [Kala, hasTrack, Jimmy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy
Context triple: [Kala, hasTrack, 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 chosen
    "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
    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 dark comedy crime film "In Bruges," known for being a foul-mouthed American dwarf actor involved in the protagonists' misadventures.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3f80c081908710b46a42fb13a3 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:49 p.m.