Triple

T379557
Position Surface form Disambiguated ID Type / Status
Subject Green Grow the Lilacs E8647 entity
Predicate hasMainCharacter P1183 FINISHED
Object Laurey E21510 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: Laurey | Statement: [Green Grow the Lilacs, hasMainCharacter, Laurey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurey
Context triple: [Green Grow the Lilacs, hasMainCharacter, Laurey]
  • A. Laurey Williams chosen
    Laurey Williams is the spirited young farm girl who serves as the romantic heroine in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • B. Effie White
    Effie White is the ambitious, powerhouse lead singer of the girl group in the musical "Dreamgirls," whose personal and professional struggles drive much of the story’s emotional core.
  • C. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • D. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • E. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • 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_69a48a7526fc8190b2aa91606319909b completed March 1, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.