Triple

T13383434
Position Surface form Disambiguated ID Type / Status
Subject Night Sight E319374 entity
Predicate featureOf P1094 FINISHED
Object Pixel 5 E73929 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 5 | Statement: [Night Sight, featureOf, Pixel 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixel 5
Context triple: [Night Sight, featureOf, Pixel 5]
  • A. Google Pixel 5 chosen
    Google Pixel 5 is a 2020 flagship Android smartphone by Google known for its clean software experience, strong camera performance, and integration of advanced computational photography features.
  • B. Pixel 5a
    The Pixel 5a is a mid-range Android smartphone by Google known for its clean software experience, strong camera performance, and long battery life.
  • C. 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.
  • 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. Google Pixel 6 Pro
    The Google Pixel 6 Pro is a flagship Android smartphone by Google known for its advanced AI-driven features, high-end camera system, and premium hardware design.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d591648190beb4430c6b199eb8 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:33 p.m.