Triple

T7299152
Position Surface form Disambiguated ID Type / Status
Subject Jim Henson E167795 entity
Predicate portrayed P1668 FINISHED
Object Kermit the Frog E134542 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: Kermit the Frog | Statement: [Jim Henson, portrayed, Kermit the Frog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kermit the Frog
Context triple: [Jim Henson, portrayed, Kermit the Frog]
  • A. Kermit chosen
    Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
  • B. Kermit Tyler
    Kermit Tyler was a U.S. Army Air Forces officer best known for his controversial role as a radar officer during the Pearl Harbor attack on December 7, 1941.
  • C. Kermit Gordon
    Kermit Gordon was an American economist and public official who served as director of the U.S. Bureau of the Budget under Presidents John F. Kennedy and Lyndon B. Johnson.
  • D. Kermit Maynard
    Kermit Maynard was an American actor and stuntman best known for his roles in Western films during the 1930s and 1940s.
  • E. Kermit Bloomgarden
    Kermit Bloomgarden was a prominent American theatrical producer best known for staging major mid-20th-century Broadway plays and musicals, including works by Arthur Miller.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebad1b4481909e49ccc580007e4b completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e550645c819085effd46dff60f09 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.