Triple

T3485936
Position Surface form Disambiguated ID Type / Status
Subject Kensli Bennett E73606 entity
Predicate givenName P17 FINISHED
Object Kensli E73606 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: Kensli | Statement: [Kensli Bennett, givenName, Kensli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensli
Context triple: [Kensli Bennett, givenName, Kensli]
  • A. Kensli Bennett chosen
    Kensli Bennett is the daughter of American hip-hop artist Chance the Rapper (Chancelor Bennett).
  • B. Keely
    Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
  • C. Kori Rae
    Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
  • D. Kenna
    Kenna is an Ethiopian-American singer-songwriter and producer known for his genre-blending alternative rock and electronic music, as well as collaborations with prominent artists and producers.
  • E. KiKi Layne
    KiKi Layne is an American actress known for her breakout role in "If Beale Street Could Talk" and performances in films such as "The Old Guard" and "Don't Worry Darling."
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb8f205c8190aa6f7484ebad14bb completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b7faec8190ae601e3c13e4c240 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.