Triple

T7561071
Position Surface form Disambiguated ID Type / Status
Subject Taken E178794 entity
Predicate starring P1507 FINISHED
Object Famke Janssen E259268 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: Famke Janssen | Statement: [Taken, starring, Famke Janssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Famke Janssen
Context triple: [Taken, starring, Famke Janssen]
  • A. Famke Janssen chosen
    Famke Janssen is a Dutch actress and former fashion model best known for her roles in the X-Men film series and the James Bond film GoldenEye.
  • B. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • C. Alexandra Hedison
    Alexandra Hedison is an American photographer, director, and former actress known for her contemporary art photography and her work on the television series "The L Word."
  • D. Amanda Burton
    Amanda Burton is a Northern Irish actress best known for starring as forensic pathologist Dr. Sam Ryan in the British crime drama series "Silent Witness."
  • E. Jeanne Tripplehorn
    Jeanne Tripplehorn is an American actress known for her film debut in the thriller "Basic Instinct" and prominent roles in movies like "The Firm" and the TV series "Big Love."
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d0cbfc8190b2cb2b601a7b078c completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.