Triple

T1936500
Position Surface form Disambiguated ID Type / Status
Subject Touch ID E41454 entity
Predicate usedFor P98 FINISHED
Object Mac login E47659 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 login | Statement: [Touch ID, usedFor, Mac login]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac login
Context triple: [Touch ID, usedFor, Mac login]
  • A. 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.
  • B. MAC
    MAC is the acronym for the Military Armistice Commission, the body responsible for supervising the implementation of the Korean Armistice Agreement.
  • C. Mac chosen
    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 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.
  • E. MacBadger
    MacBadger is a gruff but kind-hearted badger character from Disney’s adaptation of "The Wind in the Willows," where he serves as a responsible guardian and friend to Mr. Toad.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c5f6e481909b2d95861e2098f9 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f6285c8190925af156f49cf9a2 completed March 8, 2026, 10:11 p.m.
Created at: March 4, 2026, 7:35 p.m.