Triple

T19862051
Position Surface form Disambiguated ID Type / Status
Subject Rooms on Fire E477287 entity
Predicate musicVideoDirector P4911 FINISHED
Object Nick Brandt 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: Nick Brandt | Statement: [Rooms on Fire, musicVideoDirector, Nick Brandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Brandt
Context triple: [Rooms on Fire, musicVideoDirector, Nick Brandt]
  • A. Nick Brandt chosen
    Nick Brandt is a British photographer and director best known for his evocative black-and-white images of African wildlife and landscapes that highlight environmental destruction and conservation issues.
  • B. Ann Orlowski
    Ann Orlowski is a composer known for writing the song "Rubber Ball."
  • C. Alex Webb
    Alex Webb is an acclaimed American photographer renowned for his complex, richly colored street and documentary images, particularly from Latin America and the Caribbean.
  • D. James Balog
    James Balog is an American photographer and environmentalist renowned for his dramatic visual documentation of climate change, particularly through long-term glacier photography projects.
  • E. Yann Arthus-Bertrand
    Yann Arthus-Bertrand is a French photographer, filmmaker, and environmentalist best known for his aerial photography and ecological documentaries such as "Home."
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589b3cbc8190afe847e83f04c45b completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.