Triple

T1935335
Position Surface form Disambiguated ID Type / Status
Subject Universal Clipboard E41430 entity
Predicate relatedFeature P37 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: [Universal Clipboard, relatedFeature, Handoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handoff
Context triple: [Universal Clipboard, relatedFeature, 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. 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.
  • D. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • E. Ponto de Parada
    Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
  • 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_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.