Triple
T809901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 8 |
E17519
|
entity |
| Predicate | colorOption |
P60
|
FINISHED |
| Object | Obsidian |
E80216
|
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: Obsidian | Statement: [Pixel 8, colorOption, Obsidian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obsidian Context triple: [Pixel 8, colorOption, Obsidian]
-
A.
Obsidian
chosen
Obsidian is a dark, nearly black color variant commonly used as a sleek, premium finish for electronic devices such as smartphones.
-
B.
Lapis Niger
Lapis Niger is an ancient black stone shrine and inscribed pavement in Rome’s Forum Romanum, traditionally associated with early Roman religious or funerary practices and sometimes linked to the legendary king Romulus.
-
C.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
D.
Quartz
Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
-
E.
Black Stone
The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
- 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_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. |
Created at: March 1, 2026, 7:38 p.m.