Triple

T10523955
Position Surface form Disambiguated ID Type / Status
Subject Batman: Arkham City E248247 entity
Predicate platform P1292 FINISHED
Object Mac OS X E6427 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: Mac OS X | Statement: [Batman: Arkham City, platform, Mac OS X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac OS X
Context triple: [Batman: Arkham City, platform, Mac OS X]
  • A. macOS chosen
    macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
  • B. Mac
    Mac is the nickname of Willie McCovey, the Hall of Fame Major League Baseball first baseman best known for his years with the San Francisco Giants.
  • C. Mac
    Mac is a Gaelic patronymic prefix meaning "son of," commonly used in Scottish and Irish surnames.
  • D. Mac
    Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • E. Mac
    Mac is a 1992 drama film directed by and starring John Turturro, focusing on the struggles and pride of a working-class Italian-American carpenter in New York.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e155b08190996325bf484ec55d completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:29 p.m.