Triple

T9004417
Position Surface form Disambiguated ID Type / Status
Subject iPhoto E215108 entity
Predicate replacedBy P101 FINISHED
Object Photos (Apple) E215108 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: Photos (Apple) | Statement: [iPhoto, replacedBy, Photos (Apple)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Photos (Apple)
Context triple: [iPhoto, replacedBy, Photos (Apple)]
  • A. iPhoto chosen
    iPhoto was Apple's former consumer photo management and basic editing application for macOS and iOS, later succeeded by the Photos app.
  • B. Live Photos
    Live Photos is an Apple feature that captures a short moving image with sound around the moment a photo is taken, creating a brief, animated clip instead of a static picture.
  • C. Amazon Photos
    Amazon Photos is a cloud-based photo and video storage service from Amazon that lets users securely back up, organize, and access their media across devices.
  • D. iPhone
    The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
  • E. Appel
    Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e3f0c88190ae688632be25e5c9 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.