Triple

T3421472
Position Surface form Disambiguated ID Type / Status
Subject Titan M E72123 entity
Predicate usedIn P98 FINISHED
Object Pixel 3 E72113 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 3 | Statement: [Titan M, usedIn, Pixel 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixel 3
Context triple: [Titan M, usedIn, Pixel 3]
  • A. Pixel 3a
    The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
  • B. Google Pixel 3 chosen
    Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
  • C. Pixel 2
    Pixel 2 is Google's second-generation flagship Android smartphone line, known for its high-quality camera, clean software experience, and integration with Google services.
  • D. Google Pixel 4
    Google Pixel 4 is a flagship Android smartphone by Google known for its advanced computational photography, including powerful low-light camera capabilities, and tight integration with Google’s software and services.
  • E. Pixel 4a
    The Pixel 4a is a mid-range Android smartphone by Google known for its excellent camera, clean software experience, and compact, budget-friendly 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb950f65481908c4aad15516e7a7c completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb7335ac81908b8e31dc7fb3d273 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:15 p.m.