Triple

T10836711
Position Surface form Disambiguated ID Type / Status
Subject Central Intelligence E255777 entity
Predicate starring P1507 FINISHED
Object Danielle Nicolet E414679 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: Danielle Nicolet | Statement: [Central Intelligence, starring, Danielle Nicolet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle Nicolet
Context triple: [Central Intelligence, starring, Danielle Nicolet]
  • A. Danielle Nicolet chosen
    Danielle Nicolet is an American actress best known for her role as Cecile Horton on the superhero television series "The Flash."
  • B. Nicole Durant
    Nicole Durant is a supporting character in the 2006 comedy film "The Pink Panther," involved in the mystery surrounding the famous diamond theft.
  • C. Melanie Truhett
    Melanie Truhett is an American television producer and talent manager known for her work in comedy and for her long-time collaboration and marriage with comedian Brian Posehn.
  • D. Danielle Spencer
    Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
  • E. Julie Plec
    Julie Plec is an American television producer, writer, and showrunner best known for developing and overseeing popular supernatural drama series such as The Vampire Diaries and its spin-offs.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154a582188190af96ae0d5cc08dc4 completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:19 p.m.