Triple

T22490911
Position Surface form Disambiguated ID Type / Status
Subject Even Pellerud E556013 entity
Predicate name P16 FINISHED
Object Even Pellerud 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: Even Pellerud | Statement: [Even Pellerud, name, Even Pellerud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Even Pellerud
Context triple: [Even Pellerud, name, Even Pellerud]
  • A. Even Pellerud chosen
    Even Pellerud is a Norwegian football coach best known for leading Norway’s women’s national team to major international success, including a FIFA Women’s World Cup title.
  • B. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • C. Sven Nelson
    Sven Nelson is a character in DC Comics, known as the son of Kent Nelson, the original Doctor Fate.
  • D. Ed Pekurny
    Ed Pekurny is the ordinary video store clerk who becomes the unwitting star of a 24-hour reality TV show in the comedy film "Edtv."
  • E. Calvin Petersen
    Calvin Petersen is an American professional ice hockey goaltender known for his standout performance at the 2021 IIHF World Championship and his play in the NHL.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.