Triple

T379559
Position Surface form Disambiguated ID Type / Status
Subject Green Grow the Lilacs E8647 entity
Predicate hasCharacter P2308 FINISHED
Object Jud Fry E17162 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: Jud Fry | Statement: [Green Grow the Lilacs, hasCharacter, Jud Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jud Fry
Context triple: [Green Grow the Lilacs, hasCharacter, Jud Fry]
  • A. Jud Fry chosen
    Jud Fry is the brooding, antagonistic farmhand and primary villain in the classic American musical "Oklahoma!".
  • B. Dwight Frye
    Dwight Frye was an American character actor best known for his intense, often deranged roles in early horror films such as "Dracula" and "Frankenstein."
  • C. John Lund
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • D. Mike Henry
    Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
  • E. Mel Daniels
    Mel Daniels was an American professional basketball center best known as a dominant force in the ABA, where he won multiple MVP awards and championships with the Indiana Pacers.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2b07248190979229bad3a741c9 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fa35988190851216c84ad63232 completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.