Triple

T16309084
Position Surface form Disambiguated ID Type / Status
Subject City on a Hill E395999 entity
Predicate starring P1507 FINISHED
Object Amanda Clayton 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: Amanda Clayton | Statement: [City on a Hill, starring, Amanda Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Clayton
Context triple: [City on a Hill, starring, Amanda Clayton]
  • A. Amanda Clayton chosen
    Amanda Clayton is an American actress best known for her role in the crime drama television series "City on a Hill."
  • B. Amanda Clifton
    Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
  • C. Amanda Rollins
    Amanda Rollins is a fictional NYPD detective on Law & Order: Special Victims Unit who works closely with Olivia Benson on sex-crimes investigations.
  • D. Amanda Hunt
    Amanda Hunt is known as the wife of the late British actor Gareth Hunt, recognized for his roles in series such as "The New Avengers" and "Upstairs, Downstairs."
  • E. Amanda Kramer
    Amanda Kramer is an American filmmaker and writer known for her stylized, genre-bending independent films and theatrical, performance-driven storytelling.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d9557c81909203cd47aebf0f44 completed April 17, 2026, 7:24 p.m.
Created at: April 10, 2026, 5:06 a.m.