Triple

T9385742
Position Surface form Disambiguated ID Type / Status
Subject Colony E225899 entity
Predicate starring P1507 FINISHED
Object Amanda Righetti E607527 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: Amanda Righetti | Statement: [Colony, starring, Amanda Righetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Righetti
Context triple: [Colony, starring, Amanda Righetti]
  • A. Amanda Righetti chosen
    Amanda Righetti is an American actress best known for her role as agent Grace Van Pelt on the television crime drama series "The Mentalist."
  • B. Amanda Kelly
    Amanda Kelly is a technology entrepreneur best known as a co-founder of Streamlit, an open-source framework for building data and machine learning web apps in Python.
  • C. Emily Sonnett
    Emily Sonnett is an American professional soccer defender and U.S. women's national team player known for her versatility, ball-winning ability, and contributions to multiple NWSL clubs and World Cup–winning squads.
  • D. Gina Ravera
    Gina Ravera is an American actress known for her roles in television series such as "The Closer" and "ER" as well as various film appearances.
  • E. Kimberlee Acquaro
    Kimberlee Acquaro is an American filmmaker, journalist, and activist known for her documentaries and writing on social justice, gender, and human rights issues.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d3964c8190b0353f56df755db8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100eb108c8190add5bacfea1f800a completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.