Triple

T2396353
Position Surface form Disambiguated ID Type / Status
Subject Mac E47659 entity
Predicate supports P516 FINISHED
Object Handoff E41895 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: Handoff | Statement: [Mac, supports, Handoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handoff
Context triple: [Mac, supports, Handoff]
  • A. Handoff chosen
    Handoff is an Apple continuity feature that lets users start an activity on one Apple device and seamlessly continue it on another, such as moving from an iPhone to a Mac.
  • B. Midnight Office
    Midnight Office is a Christian liturgical service of nighttime prayer, traditionally observed around midnight as part of the daily cycle of worship.
  • C. Hands on the Wheel
    "Hands on the Wheel" is a country song featured on Willie Nelson’s landmark concept album *Red Headed Stranger*.
  • D. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • E. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c4a8bc819086892a75caac0207 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3de3d548190b3eda939fa5f72b3 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.