Triple

T2556988
Position Surface form Disambiguated ID Type / Status
Subject Jens Bergensten E56750 entity
Predicate name P16 FINISHED
Object Jens Bergensten E56750 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: Jens Bergensten | Statement: [Jens Bergensten, name, Jens Bergensten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jens Bergensten
Context triple: [Jens Bergensten, name, Jens Bergensten]
  • A. Jens Bergensten chosen
    Jens Bergensten is a Swedish video game designer and programmer best known as the lead developer of the sandbox game Minecraft at Mojang Studios.
  • B. Göran Persson
    Göran Persson is a Swedish Social Democratic politician who served as Prime Minister of Sweden from 1996 to 2006.
  • C. Kjell-Olof Feldt
    Kjell-Olof Feldt is a Swedish Social Democratic politician best known for serving as Sweden’s Minister for Finance during the 1980s economic reforms.
  • D. Karl-Henrik Robèrt
    Karl-Henrik Robèrt is a Swedish oncologist and sustainability pioneer best known as the founder of The Natural Step framework for strategic sustainable development.
  • E. Sture Allén
    Sture Allén was a prominent Swedish linguist and professor, renowned for his work in computational linguistics and for serving as the permanent secretary of the Swedish Academy.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd310b3a48190b275be13eb050e57 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1d937c8190ac6b7bb405a49c3c completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.