Triple

T3933911
Position Surface form Disambiguated ID Type / Status
Subject Pixel 9 E90862 entity
Predicate predecessor P97 FINISHED
Object Pixel 8 E17519 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: Pixel 8 | Statement: [Pixel 9, predecessor, Pixel 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixel 8
Context triple: [Pixel 9, predecessor, Pixel 8]
  • A. Pixel 8 chosen
    The Pixel 8 is a Google-designed Android smartphone known for its advanced AI-powered features, high-quality camera system, and clean, regularly updated software experience.
  • B. Pixel 8a
    The Pixel 8a is Google's mid-range Android smartphone in the Pixel 8 lineup, offering many of the flagship's AI-driven features and camera capabilities at a more affordable price.
  • C. Pixel 8 Pro
    The Pixel 8 Pro is Google's flagship Android smartphone known for its advanced AI-powered features, high-end camera system, and premium hardware design.
  • D. Pixel 7
    Pixel 7 is a Google-designed Android smartphone known for its clean software experience, advanced AI-powered camera features, and tight integration with Google services.
  • E. Pixel 6
    The Pixel 6 is a Google-designed Android smartphone known for its custom Tensor chip, advanced computational photography, and clean, AI-focused software experience.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5338afa348190bc5ac0b0319c6e45 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:23 p.m.