Triple

T10046356
Position Surface form Disambiguated ID Type / Status
Subject Mac OS X 10.4 Tiger E207625 entity
Predicate partOfFamily P4276 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: [Mac OS X 10.4 Tiger, partOfFamily, Mac OS X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac OS X
Context triple: [Mac OS X 10.4 Tiger, partOfFamily, 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 Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • D. Mac
    Mac is the young, imaginative boy protagonist of the animated series "Foster's Home for Imaginary Friends," known for his close bond with his imaginary friend Bloo.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf648f548190a7aa3b1594665831 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282888bac81909ccb5db5724c416d completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:56 p.m.