Triple

T3558056
Position Surface form Disambiguated ID Type / Status
Subject Charlie Work E75267 entity
Predicate featuresCharacter P626 FINISHED
Object Mac E74773 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 | Statement: [Charlie Work, featuresCharacter, Mac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac
Context triple: [Charlie Work, featuresCharacter, Mac]
  • A. Mac
    Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • B. Mac chosen
    Mac is one of the main characters on the sitcom "It's Always Sunny in Philadelphia," known for his delusional self-image, obsession with toughness and martial arts, and often misguided religious zeal.
  • C. macOS
    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.
  • D. MAC
    The MAC is an NCAA Division III athletic conference in the Middle Atlantic region of the United States, sponsoring intercollegiate sports among its member colleges and universities.
  • E. MAC
    MAC is the IATA airport code for Macon Downtown Airport, a public airport serving the city of Macon, Georgia, in the United States.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc086e6688190b90ae356e18b953e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48825d5a08190b57407b660fb5954 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:20 p.m.