Triple

T22497415
Position Surface form Disambiguated ID Type / Status
Subject Svante Nilsson E556178 entity
Predicate givenName P17 FINISHED
Object Svante 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: Svante | Statement: [Svante Nilsson, givenName, Svante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svante
Context triple: [Svante Nilsson, givenName, Svante]
  • A. Svante chosen
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • B. Svene
    Svene is a small village in Flesberg Municipality in Buskerud county, Norway.
  • C. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • D. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • E. Helvius
    Helvius is an ancient Roman family name (nomen) associated with members of the Helvia gens, such as the physician Helvius Successus.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb31b8081909553fa860a07e746 completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.