Triple

T22661432
Position Surface form Disambiguated ID Type / Status
Subject Ada Hegerberg E559672 entity
Predicate awardReceived P11 FINISHED
Object Norwegian Sportsperson of the Year 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: Norwegian Sportsperson of the Year | Statement: [Ada Hegerberg, awardReceived, Norwegian Sportsperson of the Year]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian Sportsperson of the Year
Context triple: [Ada Hegerberg, awardReceived, Norwegian Sportsperson of the Year]
  • A. Norwegian Sportsperson of the Year chosen
    Norwegian Sportsperson of the Year is a prestigious annual award recognizing the most outstanding Norwegian athlete across all sports.
  • B. Norwegian championship
    The Norwegian championship is the premier national ice hockey title in Norway, awarded annually to the country’s top-performing club.
  • C. Austrian Sportsman of the Year
    Austrian Sportsman of the Year is a prestigious national award honoring Austria's most outstanding athlete in a given year across all sports.
  • D. Guldbollen
    Guldbollen is a prestigious Swedish football award given annually to the country's best male player.
  • E. Gunnar Karlsson Award
    The Gunnar Karlsson Award is a Swedish distinction recognizing outstanding contributions to the field of computer science and engineering.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765fe7d081908087778c54c1e612 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.