Triple

T20472370
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth March E502223 entity
Predicate portrayedBy P1507 FINISHED
Object Jean Simmons 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: Jean Simmons | Statement: [Elizabeth March, portrayedBy, Jean Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Simmons
Context triple: [Elizabeth March, portrayedBy, Jean Simmons]
  • A. Jean Simmons chosen
    Jean Simmons was a British actress acclaimed for her versatile performances in classic films from the 1940s through the 1960s, including major roles in both British cinema and Hollywood epics.
  • B. Ora Baxter
    Ora Baxter is the mother of Jody Baxter, a central character in Marjorie Kinnan Rawlings' classic novel "The Yearling."
  • C. Ora Baxter
    Ora Baxter is a fictional character portrayed by actress Jane Wyman, likely featured in a mid-20th-century film or television production.
  • D. Lizabeth Scott
    Lizabeth Scott was an American film actress known for her sultry voice and frequent roles as a femme fatale in 1940s and 1950s film noir.
  • E. Gloria Grahame
    Gloria Grahame was an American film actress known for her sultry screen presence and acclaimed roles in classic Hollywood films noir and dramas of the 1940s and 1950s.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996197908190b6570e2a7fd6cf67 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.