Triple

T18337402
Position Surface form Disambiguated ID Type / Status
Subject Secondhand Lions E439307 entity
Predicate starring P1507 FINISHED
Object Kyra Sedgwick 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: Kyra Sedgwick | Statement: [Secondhand Lions, starring, Kyra Sedgwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyra Sedgwick
Context triple: [Secondhand Lions, starring, Kyra Sedgwick]
  • A. Kyra Sedgwick chosen
    Kyra Sedgwick is an American actress and producer best known for her award-winning lead role as Deputy Chief Brenda Leigh Johnson on the crime drama series "The Closer."
  • B. Kate Walsh
    Kate Walsh is an American actress best known for her role as Dr. Addison Montgomery on the television series Grey's Anatomy and its spin-off Private Practice.
  • C. Marg Helgenberger
    Marg Helgenberger is an American actress best known for her role as forensic investigator Catherine Willows on the long-running television series CSI: Crime Scene Investigation.
  • D. Jorja Fox
    Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
  • E. Elizabeth McGovern
    Elizabeth McGovern is an American actress and musician best known for her roles in films like "Ragtime" and the television series "Downton Abbey."
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ece387881909a5da0aa4370489c completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.