Triple

T13787104
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Jagger E331287 entity
Predicate hasRelative P367 FINISHED
Object Bianca Jagger E581210 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: Bianca Jagger | Statement: [Gabriel Jagger, hasRelative, Bianca Jagger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bianca Jagger
Context triple: [Gabriel Jagger, hasRelative, Bianca Jagger]
  • A. Bianca Jagger chosen
    Bianca Jagger is a Nicaraguan-born social and human rights advocate, former actress, and ex-wife of Rolling Stones frontman Mick Jagger, known for her prominent role in 1970s fashion and activism.
  • B. Kate Jagger
    Kate Jagger is a British jewelry designer and the daughter of Rolling Stones frontman Mick Jagger and model Bianca Jagger.
  • C. Anita Pallenberg
    Anita Pallenberg was an Italian-German actress, model, and style icon closely associated with the Rolling Stones, particularly through her long relationship with guitarist Keith Richards.
  • D. Elizabeth Jagger
    Elizabeth Jagger is an American-English model and actress, known as the daughter of Mick Jagger and Jerry Hall and for her work with major fashion brands.
  • E. Tisa Farrow
    Tisa Farrow is an American actress known for her roles in 1970s and 1980s films, including several cult horror and exploitation movies.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0249e4f88190a80316394940627d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b8689c8190b3ef7416000ef89e completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 10:11 p.m.