Triple

T6082071
Position Surface form Disambiguated ID Type / Status
Subject Mary McDonnell E135545 entity
Predicate workedWith P398 FINISHED
Object Kyra Sedgwick E141321 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: Kyra Sedgwick | Statement: [Mary McDonnell, workedWith, Kyra Sedgwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyra Sedgwick
Context triple: [Mary McDonnell, workedWith, 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 (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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05774bc948190a446b27e83f7079b completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14153e95081909e0d77cb48733561 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:11 p.m.