Triple

T17595538
Position Surface form Disambiguated ID Type / Status
Subject The Catcher Was a Spy E428559 entity
Predicate starring P1507 FINISHED
Object Connie Nielsen 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: Connie Nielsen | Statement: [The Catcher Was a Spy, starring, Connie Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connie Nielsen
Context triple: [The Catcher Was a Spy, starring, Connie Nielsen]
  • A. Connie Nielsen chosen
    Connie Nielsen is a Danish actress best known for her roles in films such as "Gladiator" and "Wonder Woman."
  • B. Jaimie Alexander
    Jaimie Alexander is an American actress best known for her role as the Asgardian warrior Lady Sif in the Marvel Cinematic Universe and for starring in the TV series "Blindspot."
  • C. AnnaSophia Robb
    AnnaSophia Robb is an American actress known for her roles in films such as "Soul Surfer" and "Bridge to Terabithia," as well as the TV series "The Carrie Diaries."
  • D. Kathleen Robertson
    Kathleen Robertson is a Canadian actress known for her roles in television series like "Beverly Hills, 90210" and "Boss," as well as various film and genre projects.
  • E. Thandie Newton
    Thandie Newton is a British actress acclaimed for her powerful performances in film and television, including roles in "Crash," "Westworld," and numerous other high-profile productions.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.