Triple
T4269873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Tone |
E96914
|
entity |
| Predicate | marketedAs |
P1395
|
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: [Real Tone, marketedAs, Real Tone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Tone Context triple: [Real Tone, marketedAs, 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffa30c08190913622ffec47d33d |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7a456108190afa46344a5ed2118 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.