Triple

T13988798
Position Surface form Disambiguated ID Type / Status
Subject The Sea of Grass E336512 entity
Predicate screenwriter P2831 FINISHED
Object Marguerite Roberts E248154 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: Marguerite Roberts | Statement: [The Sea of Grass, screenwriter, Marguerite Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marguerite Roberts
Context triple: [The Sea of Grass, screenwriter, Marguerite Roberts]
  • A. Marguerite Roberts chosen
    Marguerite Roberts was a prominent American screenwriter known for her sharp dialogue and work on numerous Hollywood films from the 1930s through the 1960s, including the classic Western "True Grit."
  • B. Marion Hutton
    Marion Hutton was an American singer and actress best known as a featured vocalist with the Glenn Miller Orchestra during the big band era.
  • C. Florence Greenwood
    Florence Greenwood was the wife of British Conservative politician Leo Amery and a member of a prominent political family in early 20th-century Britain.
  • D. Margot Merrill
    Margot Merrill is the adopted daughter of legendary American actress Bette Davis (born Ruth Elizabeth Davis).
  • E. Florence Dempsey
    Florence Dempsey is a spirited young reporter character in the 1933 horror film "Mystery of the Wax Museum," known for her sharp wit and investigative tenacity.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea537408190bb9d35963886803f completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31670a48190a606e812a2aa0a6e completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 10:18 p.m.