Triple

T7560398
Position Surface form Disambiguated ID Type / Status
Subject Penny Johnson Jerald E178778 entity
Predicate portrayed P1668 FINISHED
Object Sherry Palmer E291673 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: Sherry Palmer | Statement: [Penny Johnson Jerald, portrayed, Sherry Palmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherry Palmer
Context triple: [Penny Johnson Jerald, portrayed, Sherry Palmer]
  • A. Sherry Palmer chosen
    Sherry Palmer is a fictional character from the television series "24," known as the ambitious and manipulative wife of Senator and later President David Palmer.
  • B. Sherry Nelson
    Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
  • C. Sherry Marsh
    Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
  • D. Sherry Smith
    Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
  • E. Pam Ferris
    Pam Ferris is a British actress known for her character roles in film and television, including memorable performances in "Matilda," "Call the Midwife," and "Harry Potter and the Prisoner of Azkaban."
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2281e332c819093444685d37b9251 completed April 5, 2026, 9:15 a.m.
Created at: March 27, 2026, 3:50 p.m.