Triple

T7630585
Position Surface form Disambiguated ID Type / Status
Subject Lonesome Dove E172749 entity
Predicate screenwriter P2831 FINISHED
Object Suzanne De Passe E575973 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: Suzanne De Passe | Statement: [Lonesome Dove, screenwriter, Suzanne De Passe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzanne De Passe
Context triple: [Lonesome Dove, screenwriter, Suzanne De Passe]
  • A. Suzanne de Passe chosen
    Suzanne de Passe is an American television, film, and music producer known for her influential work at Motown Productions and for developing and producing numerous successful projects spotlighting Black talent and stories.
  • B. Suzanne Perrin
    Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
  • C. Suzanne Todd
    Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
  • D. Suzanne Verdal
    Suzanne Verdal is a Canadian woman best known as the real-life muse who inspired Leonard Cohen’s song “Suzanne.”
  • E. Suzanne Curchod
    Suzanne Curchod was an 18th-century Swiss salonnière and intellectual, renowned for hosting influential literary circles in Paris and for her marriage to French finance minister Jacques Necker.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa85c57c8190acfd33e0c890c2f9 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f142c48190a63f6e25dad3d57e completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:56 p.m.