Triple

T6040995
Position Surface form Disambiguated ID Type / Status
Subject Kermit E134542 entity
Predicate hasNotableBearer P458 FINISHED
Object Kermit Maynard E489066 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 Maynard | Statement: [Kermit, hasNotableBearer, Kermit Maynard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kermit Maynard
Context triple: [Kermit, hasNotableBearer, Kermit Maynard]
  • A. Kermit Maynard chosen
    Kermit Maynard was an American actor and stuntman best known for his roles in Western films during the 1930s and 1940s.
  • B. 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.
  • C. Kermit
    Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
  • D. Kermit Erasmus
    Kermit Erasmus is a South African professional soccer player known as a forward who has played for clubs in South Africa and Europe as well as the national team.
  • E. Kermit Love
    Kermit Love was an American puppeteer and costume designer best known for creating iconic Muppet characters for Jim Henson, including Big Bird and Mr. Snuffleupagus on Sesame Street.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cf82d481909d5161fe3643e7ed completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1251a3bec81909a654976712f147d completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:08 p.m.