Triple

T14258802
Position Surface form Disambiguated ID Type / Status
Subject Women of the House E353455 entity
Predicate supportingActor P7748 FINISHED
Object Lisa Rieffel E1089772 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: Lisa Rieffel | Statement: [Women of the House, supportingActor, Lisa Rieffel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Rieffel
Context triple: [Women of the House, supportingActor, Lisa Rieffel]
  • A. Lisa Rieffel chosen
    Lisa Rieffel is an American actress and singer known for her work in television sitcoms and as the lead vocalist of the rock band Killola.
  • B. Danielle Feinberg
    Danielle Feinberg is an American cinematographer and visual effects artist best known for her lighting and camera work on numerous Pixar animated films.
  • C. Sara Aaronson
    Sara Aaronson was the wife of American screenwriter Herman J. Mankiewicz, known for her connection to the prominent Hollywood writer behind "Citizen Kane."
  • D. Susan Bernofsky
    Susan Bernofsky is an acclaimed American translator and scholar best known for her English translations of major German-language authors, including works by Franz Kafka, Robert Walser, and Yoko Tawada.
  • E. Lisa Blum
    Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d150b188190a0858ab94f81d9a8 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.