Triple

T6296709
Position Surface form Disambiguated ID Type / Status
Subject Mary Lynn Rajskub E141147 entity
Predicate characterRole P268 FINISHED
Object Chloe O'Brian E461176 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: Chloe O'Brian | Statement: [Mary Lynn Rajskub, characterRole, Chloe O'Brian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chloe O'Brian
Context triple: [Mary Lynn Rajskub, characterRole, Chloe O'Brian]
  • A. Chloe O'Brian chosen
    Chloe O'Brian is a highly skilled and socially awkward CTU systems analyst and hacker from the television series "24," known for her crucial technical support to Jack Bauer.
  • B. Kay Chandler
    Kay Chandler is a central character in the romantic drama film "Random Hearts," portrayed as a composed and principled congresswoman whose life is upended by a personal tragedy.
  • C. Bree Daniels
    Bree Daniels is the troubled New York City call girl and aspiring actress portrayed by Jane Fonda in the 1971 neo-noir film "Klute."
  • D. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • E. Callie Rivers
    Callie Rivers is a former American professional volleyball player and the daughter of longtime NBA coach Doc Rivers.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e427de4481909f1cad8fae93bc42 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:27 p.m.