Triple

T17598095
Position Surface form Disambiguated ID Type / Status
Subject Phil Schiller E428624 entity
Predicate hasWorkedOn P922 FINISHED
Object Apple Watch product line NE NERFINISHED

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: Apple Watch product line | Statement: [Phil Schiller, hasWorkedOn, Apple Watch product line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Watch product line
Context triple: [Phil Schiller, hasWorkedOn, Apple Watch product line]
  • A. Apple Watch chosen
    The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
  • B. Summit smartwatch line
    The Summit smartwatch line is Montblanc’s luxury series of connected watches that blend traditional Swiss watchmaking aesthetics with modern smart technology.
  • C. Samsung Galaxy Watch
    The Samsung Galaxy Watch is a line of smartwatches that extends Samsung’s Galaxy ecosystem with fitness tracking, notifications, and app connectivity on the wrist.
  • D. Mi Band fitness trackers
    Mi Band fitness trackers are Xiaomi’s popular line of affordable wearable devices that monitor physical activity, sleep, and health metrics.
  • E. WatchKit
    WatchKit is Apple’s framework that enables developers to build and manage user interfaces and interactions for apps running on Apple Watch.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.