Triple
T37458581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Threes! |
E930860
|
entity |
| Predicate | inspiredCopycatTrend |
P193218
|
FINISHED |
| Object | tile-merging puzzle games |
—
|
LITERAL 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: tile-merging puzzle games | Statement: [Threes!, inspiredCopycatTrend, tile-merging puzzle games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredCopycatTrend Context triple: [Threes!, inspiredCopycatTrend, tile-merging puzzle games]
-
A.
inspiredVariations
chosen
Indicates that one entity consists of versions, adaptations, or reinterpretations that were creatively influenced by another entity.
-
B.
influencedFashionTrend
Indicates that one entity caused or contributed to a change or direction in another entity’s fashion style or prevailing clothing trends.
-
C.
inspiredRealWorldImitations
Indicates that one entity served as the model or motivation for real-world copies, adaptations, or imitations of it.
-
D.
trendy
Indicates that something is currently fashionable, popular, or in line with prevailing styles or tastes.
-
E.
inspiredFanCovers
Indicates that one entity has created or performed fan-made cover versions of another entity’s work as a result of being inspired by it.
- F. None of above.
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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 3, 2026, 4:17 p.m.