Triple

T11121563
Position Surface form Disambiguated ID Type / Status
Subject Kitty Bruce E263027 entity
Predicate parent P120 FINISHED
Object Honey Harlow E263027 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: Honey Harlow | Statement: [Kitty Bruce, parent, Honey Harlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honey Harlow
Context triple: [Kitty Bruce, parent, Honey Harlow]
  • A. Honey Harlow chosen
    Honey Harlow was an American stripper and entertainer best known as the wife of controversial comedian Lenny Bruce and for her involvement in his tumultuous personal and legal struggles.
  • B. Poppy Harlow
    Poppy Harlow is an American journalist and longtime CNN anchor known for her business reporting and co-hosting major news programs.
  • C. Sunshine Hart
    Sunshine Hart was an American character actress of the silent film era, known for her comedic and maternal supporting roles in numerous 1920s movies.
  • D. Honey Alexander
    Honey Alexander is an American civic leader and former First Lady of Tennessee known for her work in education, health, and children's advocacy.
  • E. Kalenna Harper
    Kalenna Harper is an American singer-songwriter and record producer best known as a member of Diddy-Dirty Money and for her work on the album "Last Train to Paris."
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af911b881908168f23a4918231c completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441d376f8819080effd5bf29c6bc1 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:28 p.m.