Triple

T9446884
Position Surface form Disambiguated ID Type / Status
Subject Brassaï E227786 entity
Predicate alsoKnownAs P39 FINISHED
Object Brassaï Gyula E227786 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: Brassaï Gyula | Statement: [Brassaï, alsoKnownAs, Brassaï Gyula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brassaï Gyula
Context triple: [Brassaï, alsoKnownAs, Brassaï Gyula]
  • A. Brassaï chosen
    Brassaï was a Hungarian–French photographer, sculptor, and writer best known for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • B. István Kertész
    István Kertész was a renowned Hungarian conductor celebrated for his interpretations of Central European repertoire, particularly the works of Dvořák and Mozart, and for his influential recordings in the 1960s and 1970s.
  • C. Othon Friesz
    Othon Friesz was a French painter known for his bold use of color and expressive style, associated with the early 20th-century Fauvist movement.
  • D. Louis Hersent
    Louis Hersent was a 19th-century French painter known for his historical and religious subjects and his role in the academic art tradition.
  • E. Christian Boltanski
    Christian Boltanski was a French contemporary artist renowned for his large-scale installations that explore memory, loss, and the traces of human existence.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f35394c8190aa77528dabd6139c completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106aeb708190bbbe1d05b7472194 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.