Triple

T23011594
Position Surface form Disambiguated ID Type / Status
Subject New York Power E572919 entity
Predicate notablePlayer P304 FINISHED
Object Gro Espeseth 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: Gro Espeseth | Statement: [New York Power, notablePlayer, Gro Espeseth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gro Espeseth
Context triple: [New York Power, notablePlayer, Gro Espeseth]
  • A. Gro Espeseth chosen
    Gro Espeseth is a former Norwegian football defender renowned for her key role in Norway’s successful women’s national team during the 1990s, including winning the 1995 FIFA Women’s World Cup and the 2000 Olympic gold medal.
  • B. Espen Olsen
    Espen Olsen is a former Norwegian footballer best known for his time as a forward with Hamarkameratene (HamKam).
  • C. Rigmor Aasrud
    Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
  • D. Espen Sandberg
    Espen Sandberg is a Norwegian film director known for co-directing major adventure films and acclaimed historical dramas, often in collaboration with Joachim Rønning.
  • E. Erik Høg
    Erik Høg is a Danish astronomer best known for his pioneering work in space astrometry and his key role in developing the techniques that underpinned ESA’s Hipparcos mission.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835b0cb881908d3d2dd40cffcbc2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.