Triple

T3789551
Position Surface form Disambiguated ID Type / Status
Subject Pixel 8a E89611 entity
Predicate supports P516 FINISHED
Object Real Tone E96914 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: Real Tone | Statement: [Pixel 8a, supports, Real Tone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Real Tone
Context triple: [Pixel 8a, supports, Real Tone]
  • A. Real Tone chosen
    Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
  • B. True Tone
    True Tone is an Apple display technology that automatically adjusts a screen’s color temperature and brightness to match ambient lighting for a more natural viewing experience.
  • C. Flesh Tone
    Flesh Tone is a 2010 dance-pop and electronic album by American singer Kelis that marked a stylistic shift toward club-oriented, upbeat production.
  • D. Tinge
    Tinge is a figure from Greek mythology known primarily as the wife of the Libyan giant Antaeus.
  • E. Twilite Tone
    Twilite Tone is a Chicago-based hip-hop producer and DJ known for his work with artists like Common and Kanye West.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76733248190a24a1143c64bd6c6 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.