Triple

T18548173
Position Surface form Disambiguated ID Type / Status
Subject Kim Raver E453290 entity
Predicate portrayedCharacter P1668 FINISHED
Object Nico Reilly 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: Nico Reilly | Statement: [Kim Raver, portrayedCharacter, Nico Reilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nico Reilly
Context triple: [Kim Raver, portrayedCharacter, Nico Reilly]
  • A. Nico Reilly chosen
    Nico Reilly is a high-powered magazine editor and one of the three ambitious, glamorous protagonists navigating career, friendship, and romance in the TV series "Lipstick Jungle."
  • B. Terius Nash
    Terius Nash, better known by his stage name The-Dream, is an American singer, songwriter, and record producer renowned for crafting numerous contemporary R&B and pop hits.
  • C. Nick Hector
    Nick Hector is a Canadian film editor known for his work on documentaries and independent films.
  • D. Nate Morgan
    Nate Morgan is a musician best known as a member of the American funk band Rufus.
  • E. Nicholas Reed
    Nicholas Reed is a film producer best known for his work on the Academy Award–winning documentary short "The Lady in Number 6: Music Saved My Life."
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.