Triple

T14398322
Position Surface form Disambiguated ID Type / Status
Subject Sliver E357006 entity
Predicate leadCharacter P1668 FINISHED
Object Carly Norris E1111614 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: Carly Norris | Statement: [Sliver, leadCharacter, Carly Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carly Norris
Context triple: [Sliver, leadCharacter, Carly Norris]
  • A. Carly Norris chosen
    Carly Norris is the protagonist of the erotic thriller novel and film "Sliver," a young professional who becomes entangled in a web of voyeurism, surveillance, and murder in her New York apartment building.
  • B. Lisa Nicole Carson
    Lisa Nicole Carson is an American actress best known for her role as prosecutor Renée Raddick on the television series "Ally McBeal" and for her work in film and television during the 1990s.
  • C. Nicole Young
    Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
  • D. Nicole Willis
    Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
  • E. Marielle Scott
    Marielle Scott is an American actress known for her work in film and television, including roles in projects like the miniseries "A Teacher."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249ebd3c81908d8b562845d9ceb1 completed May 8, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:17 a.m.