Triple

T10691546
Position Surface form Disambiguated ID Type / Status
Subject Bibi Andersson E252020 entity
Predicate familyName P18 FINISHED
Object Andersson E244958 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: Andersson | Statement: [Bibi Andersson, familyName, Andersson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andersson
Context triple: [Bibi Andersson, familyName, Andersson]
  • A. Andersson chosen
    Andersson is a common Swedish surname borne by numerous notable individuals across fields such as music, sports, and politics.
  • B. Per Andersson
    Per Andersson is a Swedish comedian and actor known for his energetic performances in television, film, and theater.
  • C. Anders Andersson
    Anders Andersson is a Swedish former professional footballer known for his midfield play with clubs such as Malmö FF and Benfica as well as the Sweden national team.
  • D. Thomas Andersson
    Thomas Andersson is a relatively common Scandinavian personal name shared by multiple individuals, including professionals in fields such as sports, academia, and the arts.
  • E. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988ad741c8190b9ae962e0c5bc272 completed April 10, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:11 p.m.