Triple

T14866659
Position Surface form Disambiguated ID Type / Status
Subject Statue of Saint Gellért E349631 entity
Predicate architect P184 FINISHED
Object Gyula Hegedűs E1136614 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: Gyula Hegedűs | Statement: [Statue of Saint Gellért, architect, Gyula Hegedűs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyula Hegedűs
Context triple: [Statue of Saint Gellért, architect, Gyula Hegedűs]
  • A. Gyula Hegedűs chosen
    Gyula Hegedűs was a Hungarian architect known for designing notable public monuments and buildings in Budapest in the late 19th and early 20th centuries.
  • B. Gyula Halász
    Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • C. Frigyes Déri
    Frigyes Déri was a Hungarian art collector and philanthropist whose extensive collection formed the basis of the Déri Museum in Debrecen.
  • D. Zala György
    Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
  • E. András Hámori
    András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec870cea08190962434fc2647fd67 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:55 a.m.