Triple

T17122322
Position Surface form Disambiguated ID Type / Status
Subject Machová E415498 entity
Predicate derivedFrom P909 FINISHED
Object Mach E90361 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: Mach | Statement: [Machová, derivedFrom, Mach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mach
Context triple: [Machová, derivedFrom, Mach]
  • A. Mach chosen
    Mach is a surname most famously associated with Austrian physicist and philosopher Ernst Mach, whose work on the physics of motion and critical views on Newtonian mechanics influenced both science and philosophy.
  • B. Mach
    Mach is a pioneering microkernel-based operating system kernel architecture that introduced advanced concepts like message passing and modularity, influencing many modern OS designs.
  • C. Mach 1
    Mach 1 is a performance-oriented version of the Ford Mustang known for its enhanced power, handling, and distinctive styling cues.
  • D. Mach-1
    Mach-1 is a Marvel Comics armored superhero identity primarily used by Abner Jenkins, a former supervillain who becomes a member of the Thunderbolts.
  • E. Machin
    Machin is a surname most notably associated with British sculptor and coin designer Arnold Machin, whose portrait of Queen Elizabeth II appeared on UK coins for decades.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80ac2cc819084fab829917c950a completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.