Triple

T13645459
Position Surface form Disambiguated ID Type / Status
Subject Scooter E326089 entity
Predicate associatedWith P37 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: [Scooter, associatedWith, Kermit the Frog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kermit the Frog
Context triple: [Scooter, associatedWith, 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fb2b708190ae6e36bfb93f8bdd completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:51 p.m.