Triple

T13719212
Position Surface form Disambiguated ID Type / Status
Subject Jenner family E328980 entity
Predicate business P12567 FINISHED
Object Poosh E330277 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: Poosh | Statement: [Jenner family, business, Poosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poosh
Context triple: [Jenner family, business, Poosh]
  • A. Poosh chosen
    Poosh is Kourtney Kardashian’s lifestyle and wellness brand and content platform, featuring advice, products, and curated recommendations on beauty, health, and living.
  • B. Papoose
    Papoose is an American rapper and songwriter from Brooklyn, New York, known for his mixtapes, lyrical wordplay, and appearances on reality television.
  • C. Pee-Posh
    Pee-Posh, also known as the Piipaash, are an Indigenous people of the lower Colorado River region in the southwestern United States and northern Mexico, closely associated with the Maricopa community.
  • D. Poons
    Poons is a surname most notably associated with Larry Poons, an American abstract painter known for his innovative use of color and optical effects.
  • E. Poosh 'Em Up
    Poosh 'Em Up was the colorful nickname of Hall of Fame second baseman Tony Lazzeri, a key member of the New York Yankees’ famed "Murderers' Row" lineup in the 1920s and 1930s.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5c4f848190993f829824eabbef completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.