Triple
T13802492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playdots |
E331673
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dots |
E1062274
|
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 | Statement: [Playdots, notableWork, Dots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dots Context triple: [Playdots, notableWork, Dots]
-
A.
Dots & Lines
Dots & Lines is a track from Lupe Fiasco’s critically acclaimed album Tetsuo & Youth, noted for its intricate lyricism and conceptual depth.
-
B.
Two Dots
Two Dots is a popular minimalist puzzle game for mobile devices, known for its clean design, relaxing music, and progressively challenging dot-connecting levels.
-
C.
Dots series
chosen
Dots series is a popular minimalist puzzle game franchise for mobile devices known for its clean design and color-connecting mechanics.
-
D.
Dots & Co
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.
-
E.
K.Dot
K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
- 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.