Triple

T17513199
Position Surface form Disambiguated ID Type / Status
Subject Live Through This E426501 entity
Predicate featuresMember P17143 FINISHED
Object Kristen Pfaff 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: Kristen Pfaff | Statement: [Live Through This, featuresMember, Kristen Pfaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Pfaff
Context triple: [Live Through This, featuresMember, Kristen Pfaff]
  • A. Kristen Pfaff chosen
    Kristen Pfaff was an American bassist and musician best known for playing in the alternative rock band Hole during the early 1990s grunge era.
  • B. Lyndsey Pfaff
    Lyndsey Pfaff is a Belgian television personality and member of the well-known Pfaff family, featured in the reality series "De Pfaffs."
  • C. Kristen Ruhlin
    Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
  • D. Kristen Pazik
    Kristen Pazik is an American model known for her work in fashion and for being married to Ukrainian football legend Andriy Shevchenko.
  • E. Kirstin Bauch
    Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525d29fc819080851bf744bc78ed completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.