Triple

T6379631
Position Surface form Disambiguated ID Type / Status
Subject Mayer E143547 entity
Predicate hasNotableBearer P458 FINISHED
Object Carl Mayer E335828 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: Carl Mayer | Statement: [Mayer, hasNotableBearer, Carl Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Mayer
Context triple: [Mayer, hasNotableBearer, Carl Mayer]
  • A. Carl Mayer chosen
    Carl Mayer was an influential Austrian screenwriter best known for his work on seminal German Expressionist and early silent films of the 1920s and 1930s.
  • B. Carl Gottlieb
    Carl Gottlieb is an American screenwriter, actor, and director best known for co-writing the blockbuster film "Jaws" and its sequels.
  • C. Albert Mayer
    Albert Mayer was an American architect and urban planner known for his early master plan for the Indian city of Chandigarh and his influential work in modernist town planning.
  • D. Christian Meyer
    Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
  • E. Hugo Eberlein
    Hugo Eberlein was a German communist politician and revolutionary who was a founding figure of the early German communist movement.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.