Triple

T19048639
Position Surface form Disambiguated ID Type / Status
Subject Nan Goldin E466199 entity
Predicate influencedBy P9 FINISHED
Object Larry Clark 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: Larry Clark | Statement: [Nan Goldin, influencedBy, Larry Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Clark
Context triple: [Nan Goldin, influencedBy, Larry Clark]
  • A. Larry Clark chosen
    Larry Clark is an American photographer and filmmaker known for his raw, controversial depictions of youth culture, sexuality, and drug use in works like the photo book "Tulsa" and the film "Kids."
  • B. Bruce Gilden
    Bruce Gilden is an American street photographer renowned for his confrontational close-up flash portraits of people in public spaces.
  • C. William Klein
    William Klein was an influential American-born French photographer and filmmaker renowned for his gritty, innovative street photography and groundbreaking fashion work.
  • D. Ethan Winogrand
    Ethan Winogrand is known primarily as a son of the influential American street photographer Garry Winogrand.
  • E. Garry Winogrand
    Garry Winogrand was a pioneering American street photographer known for his candid, energetic images of mid-20th-century life in the United States, particularly in New York City.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d8062ea481908cf3fcb790a74956 completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.