Triple

T10225303
Position Surface form Disambiguated ID Type / Status
Subject Liv Rundgren Tyler E243188 entity
Predicate familyName P18 FINISHED
Object Rundgren E243191 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: Rundgren | Statement: [Liv Rundgren Tyler, familyName, Rundgren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rundgren
Context triple: [Liv Rundgren Tyler, familyName, Rundgren]
  • A. Liv Rundgren chosen
    Liv Rundgren is the birth name of American actress and model Liv Tyler, known for her roles in films such as "Armageddon" and "The Lord of the Rings" trilogy.
  • B. Per Anger
    Per Anger was a Swedish diplomat best known for his efforts to rescue Jews in Hungary during the Holocaust and for his close collaboration with Raoul Wallenberg.
  • C. Michael Bergen
    Michael Bergen is the charming yet immature college student and central character played by Ryan Reynolds in the sitcom "Two Guys and a Girl."
  • D. Ulvaeus
    Ulvaeus is the surname of Björn Ulvaeus, the Swedish musician, songwriter, and member of the pop group ABBA.
  • E. Lindros
    Lindros is a surname most famously associated with Eric Lindros, a dominant Canadian ice hockey player and Hall of Famer.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f715bea881909da9d0749fa6420f completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:17 a.m.