Triple
T809884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 8 |
E17519
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Real Tone
Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
|
E96914
|
NE FINISHED |
How this triple was built (4 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 8, hasFeature, Real Tone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Tone Context triple: [Pixel 8, hasFeature, Real Tone]
-
A.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
B.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
C.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
D.
Color Struck
Color Struck is a one-act play by Zora Neale Hurston that explores colorism and intraracial prejudice in the early 20th-century African American South, and is recognized as a significant dramatic work of the Harlem Renaissance.
-
E.
Spectral
Spectral is a 2016 military science fiction film that follows a special-ops team confronting ghostly entities in a war-torn Eastern European city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Real Tone Triple: [Pixel 8, hasFeature, Real Tone]
Generated description
Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Real Tone Target entity description: Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
-
A.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
B.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
C.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
D.
Color Struck
Color Struck is a one-act play by Zora Neale Hurston that explores colorism and intraracial prejudice in the early 20th-century African American South, and is recognized as a significant dramatic work of the Harlem Renaissance.
-
E.
Spectral
Spectral is a 2016 military science fiction film that follows a special-ops team confronting ghostly entities in a war-torn Eastern European city.
- F. None of above. chosen
Provenance (5 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab26d36c8190800e98890b7ae08e |
completed | March 1, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8623248190a2306b23ea378534 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a786dce5f481909bae68fade141630 |
completed | March 4, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78744908481909f2ff69fcc873b6d |
completed | March 4, 2026, 1:13 a.m. |
Created at: March 1, 2026, 7:38 p.m.