Triple

T11151559
Position Surface form Disambiguated ID Type / Status
Subject Hansen E263797 entity
Predicate hasVariant P455 FINISHED
Object Hanssen E496619 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: Hanssen | Statement: [Hansen, hasVariant, Hanssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanssen
Context triple: [Hansen, hasVariant, Hanssen]
  • A. Christian Spies
    Christian Spies is a notable individual who shares the surname Spies and is recognized as a distinguished bearer of that name.
  • B. Blaine Manning
    Blaine Manning is a former Canadian professional lacrosse forward best known as a star player and multiple-time NLL champion with the Toronto Rock.
  • C. Colonel Redl
    Colonel Redl is a 1985 historical drama film by István Szabó that portrays the rise and tragic downfall of an Austro-Hungarian officer entangled in espionage and political intrigue before World War I.
  • D. Robert Hanssen in Breach chosen
    Robert Hanssen in *Breach* is the real-life FBI agent turned notorious spy for Russia whose betrayal and double life form the central focus of the film.
  • E. Leon Ames
    Leon Ames was an American character actor best known for his prolific film and television career from the 1930s through the 1970s, often portraying dignified fathers, professionals, and authority figures.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8719e74819095413abc6c79296c completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4422ca62c81909a3a935fb7e28c34 completed April 19, 2026, 2:47 a.m.
Created at: April 8, 2026, 9:28 p.m.