Triple

T22349265
Position Surface form Disambiguated ID Type / Status
Subject Eric Brenner E552483 entity
Predicate notableWork P4 FINISHED
Object Mercury Plains 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: Mercury Plains | Statement: [Eric Brenner, notableWork, Mercury Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercury Plains
Context triple: [Eric Brenner, notableWork, Mercury Plains]
  • A. Mercury Plains chosen
    Mercury Plains is a 2016 action drama film starring Scott Eastwood as a troubled young man who becomes entangled with a paramilitary group in Mexico.
  • B. Donut Plains
    Donut Plains is a grassy, lake-filled region and the second major world in Super Mario World, known for introducing secret exits and the Cape Feather power-up.
  • C. Sentinel Plain
    Sentinel Plain is a desert plain in southwestern Arizona, characterized by arid terrain and its proximity to the Sand Tank Mountains.
  • D. Acorn Plains
    Acorn Plains is the grassy, introductory overworld-themed first world in the platform game New Super Mario Bros. U.
  • E. Hart Plain
    Hart Plain is a residential ward and suburb within the borough of Havant in Hampshire, England.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.