Triple

T5055651
Position Surface form Disambiguated ID Type / Status
Subject GoldenEye E113895 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: [GoldenEye, starring, Famke Janssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Famke Janssen
Context triple: [GoldenEye, 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. 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."
  • E. Lea Thompson
    Lea Thompson is an American actress best known for her role as Lorraine Baines McFly in the Back to the Future film trilogy.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744e45588190beaa2f96bb2f41e2 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.