Triple

T17263788
Position Surface form Disambiguated ID Type / Status
Subject Fame (TV series) E419068 entity
Predicate notableCastMember P7010 FINISHED
Object Valerie Landsburg E986511 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: Valerie Landsburg | Statement: [Fame (TV series), notableCastMember, Valerie Landsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerie Landsburg
Context triple: [Fame (TV series), notableCastMember, Valerie Landsburg]
  • A. Valerie Landsburg chosen
    Valerie Landsburg is an American actress, singer, and director best known for her role as Doris Schwartz on the television series "Fame."
  • B. Emily Friehl
    Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
  • C. Kathy Steinberg
    Kathy Steinberg is a former child voice actress best known for voicing Sally Brown in the classic Peanuts television specials.
  • D. Theresa Eichenwald
    Theresa Eichenwald is an American physician and academic known for her work in pediatrics and infectious diseases.
  • E. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4379848190add32ba8e5f93527 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179445cac8190833eb7cd879a93bd completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:40 a.m.