Triple
T13802497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playdots |
E331673
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Dots & Co |
E1062273
|
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: Dots & Co | Statement: [Playdots, product, Dots & Co]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dots & Co Context triple: [Playdots, product, Dots & Co]
-
A.
Dots & Co
chosen
Dots & Co is a minimalist puzzle game by Playdots that expands on the mechanics of its predecessor Dots with new characters, abilities, and level-based challenges.
-
B.
K.Dot
K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
-
C.
Dotdot
Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
-
D.
Running with Crayons Ltd
Running with Crayons Ltd is a software company best known for creating the popular macOS productivity application Alfred.
-
E.
Dotty
Dotty is a common diminutive given name, typically used as a nickname for Dorothy.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.