Triple
T15069514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masahiro Sakurai |
E379837
|
entity |
| Predicate | topicOfChannel |
P110001
|
FINISHED |
| Object | game design |
—
|
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: game design | Statement: [Masahiro Sakurai, topicOfChannel, game design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfChannel Context triple: [Masahiro Sakurai, topicOfChannel, game design]
-
A.
channels
Indicates that one entity serves as a medium, route, or conduit through which another entity is directed, transmitted, or delivered.
-
B.
YouTubeChannelTopic
chosen
Indicates that a YouTube channel is primarily about or associated with a particular topic or subject area.
-
C.
typicalChannel
Indicates the usual or most commonly used communication or distribution channel through which an interaction, message, or transaction typically occurs.
-
D.
legacyTopic
Indicates that a topic or subject is considered outdated, superseded, or retained only for backward compatibility or historical reasons.
-
E.
featuresTopic
Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.