Triple

T2026016
Position Surface form Disambiguated ID Type / Status
Subject Jimmie E44408 entity
Predicate hasNotableBearer P458 FINISHED
Object Jimmie Walker E164744 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: Jimmie Walker | Statement: [Jimmie, hasNotableBearer, Jimmie Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmie Walker
Context triple: [Jimmie, hasNotableBearer, Jimmie Walker]
  • A. Jimmie Walker chosen
    Jimmie Walker is an American actor and comedian best known for his breakout role as J.J. Evans on the 1970s sitcom "Good Times" and his catchphrase "Dy-no-mite!"
  • B. Jimmie Angel
    Jimmie Angel was an American aviator best known for bringing the world's highest uninterrupted waterfall, Angel Falls in Venezuela, to international attention after landing his plane atop the Auyán-tepui plateau.
  • C. Joe Walker
    Joe Walker was a pioneering American test pilot and astronaut known for setting altitude and speed records in experimental aircraft, including flights that reached the edge of space.
  • D. Joe Walker
    Joe Walker is a British film editor acclaimed for his work on major films such as "Sicario," "Arrival," and "Dune."
  • E. Wayne Hardin
    Wayne Hardin was a prominent American college football coach best known for his successful tenures leading the Navy Midshipmen and Temple Owls programs.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fead86c8190b3b247e88aad30f9 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:38 p.m.