Triple

T15310828
Position Surface form Disambiguated ID Type / Status
Subject Meantime E366030 entity
Predicate starredActor P5563 FINISHED
Object Pam Ferris 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: Pam Ferris | Statement: [Meantime, starredActor, Pam Ferris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Ferris
Context triple: [Meantime, starredActor, Pam Ferris]
  • A. Pam Ferris chosen
    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."
  • B. Pamela Fryman
    Pamela Fryman is an American television director and producer best known for directing the vast majority of episodes of the sitcom "How I Met Your Mother."
  • C. Pam Sheyne
    Pam Sheyne is a British songwriter and producer best known for co-writing Christina Aguilera’s hit single "Genie in a Bottle."
  • D. Pamela Reeves
    Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
  • E. Pamela Hart
    Pamela Hart is an actress best known for her role in the 1998 psychological thriller film "Pi."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
Created at: April 10, 2026, 3:16 a.m.