Triple

T20769344
Position Surface form Disambiguated ID Type / Status
Subject Shantel VanSanten E511182 entity
Predicate playedCharacter P1507 FINISHED
Object Karen Baldwin 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: Karen Baldwin | Statement: [Shantel VanSanten, playedCharacter, Karen Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Baldwin
Context triple: [Shantel VanSanten, playedCharacter, Karen Baldwin]
  • A. Karen Baldwin
    Karen Baldwin is a film producer best known for her work on the Oscar-winning biographical drama "Ray."
  • B. Karen Baldwin
    Karen Baldwin is a central character in the 1962 post-apocalyptic film "Panic in Year Zero!", which follows a family struggling to survive after a nuclear attack.
  • C. Karen Baldwin chosen
    Karen Baldwin is a central character in the alternate-history space drama series "For All Mankind," known for her complex personal journey amid the political and emotional fallout of the space race.
  • D. Karen West
    Karen West is known as the wife of legendary NBA player and executive Jerry West.
  • E. Nancy Dow
    Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24fa1b08190b09ab8fcb87b5c01 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.