Triple

T8486109
Position Surface form Disambiguated ID Type / Status
Subject Trash E200835 entity
Predicate cinematographyBy P1953 FINISHED
Object Adriano Goldman E380804 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: Adriano Goldman | Statement: [Trash, cinematographyBy, Adriano Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adriano Goldman
Context triple: [Trash, cinematographyBy, Adriano Goldman]
  • A. Adriano Goldman chosen
    Adriano Goldman is a Brazilian cinematographer known for his acclaimed work on both feature films and television series, including projects like "August: Osage County" and "The Crown."
  • B. Eduardo Nery
    Eduardo Nery was a Portuguese artist best known for his innovative tilework and public art installations that blend geometric abstraction with architectural spaces.
  • C. Adriano Correia de Oliveira
    Adriano Correia de Oliveira was a prominent Portuguese singer and political activist known for his influential role in protest music during the Estado Novo regime.
  • D. Marcelo Gomes
    Marcelo Gomes is a renowned Brazilian ballet dancer celebrated for his long and distinguished career as a principal dancer with American Ballet Theatre.
  • E. Bruno Barreto
    Bruno Barreto is a Brazilian film director known for works such as "Dona Flor and Her Two Husbands" and "Four Days in September."
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.