Triple

T18368381
Position Surface form Disambiguated ID Type / Status
Subject Palacio Sara Braun E440110 entity
Predicate architect P184 FINISHED
Object Numa Mayer 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: Numa Mayer | Statement: [Palacio Sara Braun, architect, Numa Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numa Mayer
Context triple: [Palacio Sara Braun, architect, Numa Mayer]
  • A. Numa Mayer chosen
    Numa Mayer was an architect known for designing the historic Palacio Sara Braun in Punta Arenas, Chile.
  • B. Etame Mayer
    Etame Mayer is a surname most notably associated with Cameroonian former professional footballer Lauren Etame Mayer, who played as a defender and midfielder for clubs including Arsenal and the Cameroon national team.
  • C. Henry Gondorff
    Henry Gondorff is a seasoned, charismatic con artist and grifter portrayed by Paul Newman in the classic 1973 film "The Sting."
  • D. Arthur Noble
    Arthur Noble was a British colonial military officer in Nova Scotia, best known for his leadership and death in the 1747 Battle of Grand Pré during King George’s War.
  • E. Thomas Mayne
    Thomas Mayne was an Australian food scientist best known for creating the chocolate malted milk drink Milo in the 1930s.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e51750d3dc8190b153046c1171ee2b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.