Triple
T11546835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Through the Fire and Flames |
E273794
|
entity |
| Predicate | videoGameReputation |
P100043
|
FINISHED |
| Object | extreme difficulty in rhythm 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: extreme difficulty in rhythm games | Statement: [Through the Fire and Flames, videoGameReputation, extreme difficulty in rhythm games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoGameReputation Context triple: [Through the Fire and Flames, videoGameReputation, extreme difficulty in rhythm games]
-
A.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
B.
metacriticPlatform
Indicates the platform (such as console, PC, or device) on which a work is evaluated or listed in Metacritic.
-
C.
relatedGame
Indicates that one game has a notable connection or association with another game, such as shared content, themes, or series.
-
D.
metacriticReception
Indicates the critical reception or review score an entity received on Metacritic.
-
E.
notableGame
Indicates that a particular game is especially significant, prominent, or well-known in relation to the associated entity.
- F. None of above. chosen
Provenance (4 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822f00a088190ac6b48e45e743899 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.