Triple

T10394010
Position Surface form Disambiguated ID Type / Status
Subject Benny Andersson E244960 entity
Predicate spouse P13 FINISHED
Object Mona Nörklit E244960 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: Mona Nörklit | Statement: [Benny Andersson, spouse, Mona Nörklit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mona Nörklit
Context triple: [Benny Andersson, spouse, Mona Nörklit]
  • A. Mona Nörklit chosen
    Mona Nörklit is a Swedish television producer best known as the wife of ABBA musician Benny Andersson.
  • B. Mona Rudao
    Mona Rudao was a Seediq indigenous chieftain and resistance leader in Taiwan who led an uprising against Japanese colonial rule in 1930.
  • C. Monika Henreid
    Monika Henreid is the daughter of classic Hollywood actor and director Paul Henreid, known for his roles in films such as "Casablanca" and "Now, Voyager."
  • D. Monika Willi
    Monika Willi is an acclaimed Austrian film editor known for her work on numerous internationally recognized art-house and auteur films.
  • E. Wende Zomnir
    Wende Zomnir is a beauty entrepreneur best known for co-founding the edgy cosmetics brand Urban Decay, which helped popularize bold, alternative makeup in the mainstream market.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b795fc8190aa50ce3c7360ff83 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795c8271c81908a6b67822050c06d completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.