Triple

T7685820
Position Surface form Disambiguated ID Type / Status
Subject Christer Fuglesang E174113 entity
Predicate givenName P17 FINISHED
Object Christer E174113 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: Christer | Statement: [Christer Fuglesang, givenName, Christer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christer
Context triple: [Christer Fuglesang, givenName, Christer]
  • A. Christer Fuglesang chosen
    Christer Fuglesang is a Swedish physicist and astronaut who became the first Swede in space as a mission specialist with the European Space Agency and NASA.
  • B. Dan Marțian
    Dan Marțian was a Romanian politician active in the post-communist transition period, known for his role in early democratic institutions after the 1989 Revolution.
  • C. Michael Fagan
    Michael Fagan is a British man best known for breaking into Buckingham Palace and entering Queen Elizabeth II’s bedroom in 1982, one of the most notorious royal security breaches in modern history.
  • D. Chris Peterson
    Chris Peterson is a television writer and producer best known for co-creating the Disney XD science-fiction comedy series "Lab Rats."
  • E. John Markus
    John Markus is an American television writer and producer best known for his work on sitcoms such as The Cosby Show and for creating the series Kristin.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022118908190a3a93cfda79be0a4 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25c2a308190908ffdd2f0b7262f completed March 29, 2026, 3:54 a.m.
Created at: March 27, 2026, 4:02 p.m.