Triple

T11614699
Position Surface form Disambiguated ID Type / Status
Subject Goody Goody E275474 entity
Predicate hasNotableRecording P1152 FINISHED
Object Ted Lewis E503898 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: Ted Lewis | Statement: [Goody Goody, hasNotableRecording, Ted Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Lewis
Context triple: [Goody Goody, hasNotableRecording, Ted Lewis]
  • A. Ted Lewis
    Ted Lewis was a British crime novelist best known for pioneering the modern British noir genre, particularly through his novel that inspired the film "Get Carter."
  • B. Ted Lewis chosen
    Ted Lewis was an American jazz bandleader, clarinetist, and entertainer known for his flamboyant stage presence and catchphrase "Is everybody happy?"
  • C. Bill Kelly
    Bill Kelly is an American screenwriter best known for writing the fantasy romantic comedy film "Enchanted."
  • D. Don Whitaker
    Don Whitaker is a character in the comedy film "Daddy's Home 2," portrayed as one of the grandfathers whose arrival escalates the family’s holiday chaos.
  • E. Ernie Lombardi
    Ernie Lombardi was a Hall of Fame Major League Baseball catcher known for his powerful hitting, exceptional batting averages, and distinctive slow-footed playing style during the 1930s and 1940s.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.