Triple
T1271805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 6 |
E15725
|
entity |
| Predicate | colorOption |
P60
|
FINISHED |
| Object |
Stormy Black
Stormy Black is a dark, sleek color variant offered for Google's Pixel 6 smartphone.
|
E144651
|
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: Stormy Black | Statement: [Pixel 6, colorOption, Stormy Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stormy Black Context triple: [Pixel 6, colorOption, Stormy Black]
-
A.
The Storm
"The Storm" is a short story by American author Kate Chopin that explores themes of passion, infidelity, and female desire in the context of a brief extramarital encounter during a Louisiana thunderstorm.
-
B.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
C.
Leaf Storm
Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
-
D.
The Black
The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
-
E.
The Black Devil
The Black Devil was the fearsome nickname of Erich Hartmann, the German World War II fighter ace who remains the highest-scoring fighter pilot in history.
- 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: Stormy Black Triple: [Pixel 6, colorOption, Stormy Black]
Generated description
Stormy Black is a dark, sleek color variant offered for Google's Pixel 6 smartphone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stormy Black Target entity description: Stormy Black is a dark, sleek color variant offered for Google's Pixel 6 smartphone.
-
A.
The Storm
"The Storm" is a short story by American author Kate Chopin that explores themes of passion, infidelity, and female desire in the context of a brief extramarital encounter during a Louisiana thunderstorm.
-
B.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
C.
Leaf Storm
Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
-
D.
The Black
The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
-
E.
The Black Devil
The Black Devil was the fearsome nickname of Erich Hartmann, the German World War II fighter ace who remains the highest-scoring fighter pilot in history.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998b819c8190ad5a4095d31b5cb1 |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a13e9548190ae1fbfeba3326cd5 |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a96d4f081908e608a3f247bbfb2 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.