Triple

T1582114
Position Surface form Disambiguated ID Type / Status
Subject Joan Roberts E33787 entity
Predicate notableRole P22 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: [Joan Roberts, notableRole, Laurey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurey
Context triple: [Joan Roberts, notableRole, 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. Charley Dietz
    Charley Dietz is a quirky, womanizing neighbor and close friend of the main family on the sitcom "Empty Nest," known for his comedic antics and laid-back charm.
  • C. Leatrice Joy
    Leatrice Joy was a prominent American silent film actress of the 1920s known for her expressive performances and distinctive bobbed hairstyle.
  • D. Dorothy Comingore
    Dorothy Comingore was an American film actress best known for her acclaimed performance as Susan Alexander Kane in Orson Welles's classic film "Citizen Kane."
  • E. Mary Lee Ware
    Mary Lee Ware was an American philanthropist and patron of science best known for financing Harvard University’s famous Blaschka Glass Models of Plants (the “Glass Flowers”).
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ef80a48190bd5a8e51c65e5588 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b2b4d4819093f2ae3759838757 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.