Triple

T19001381
Position Surface form Disambiguated ID Type / Status
Subject Grease (1993 London production) E464960 entity
Predicate featuresCharacter P626 FINISHED
Object Doody NE NERFINISHED

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: Doody | Statement: [Grease (1993 London production), featuresCharacter, Doody]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doody
Context triple: [Grease (1993 London production), featuresCharacter, Doody]
  • A. Doody
    Doody is an Irish actress and former model best known for her role as Elsa Schneider in the film "Indiana Jones and the Last Crusade."
  • B. Doody chosen
    Doody is one of the T-Birds and a friend of Sandy Olsson in the musical and film "Grease."
  • C. Dooley
    Dooley is the nickname of American actor and musician Dooley Wilson, best known for playing Sam and performing "As Time Goes By" in the classic film Casablanca.
  • D. Dooley
    Dooley is the family name of silent film actress Nita Naldi, born Mary Dooley, who was known for her vamp roles in early 20th-century cinema.
  • E. Dooley
    Dooley is a surname of Irish origin borne by various notable individuals across fields such as entertainment, sports, and politics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6863cf4819096e471d19f9a714c completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.