Triple
T36956488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brütal Legend |
E914201
|
entity |
| Predicate | laterPlatformRelease |
P103322
|
FINISHED |
| Object | Microsoft Windows |
—
|
NE NERFINISHED |
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: Microsoft Windows | Statement: [Brütal Legend, laterPlatformRelease, Microsoft Windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterPlatformRelease Context triple: [Brütal Legend, laterPlatformRelease, Microsoft Windows]
-
A.
laterPlatform
Indicates that one entity occurs, appears, or is positioned on a platform that comes after another platform in time or sequence.
-
B.
laterVersion
Indicates that one entity is a subsequent or more recent version of another entity in a version sequence.
-
C.
laterReleases
chosen
Indicates that one release, version, or publication occurs after another in time.
-
D.
laterReleaseYear
Indicates that the release year of one entity occurs after the release year of another entity.
-
E.
laterReleased
Indicates that one entity was released at a time chronologically after the release of another entity.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00c8e617548190bba4cdfbb6f512e0 |
completed | May 10, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_6a00c7e816b88190bd40f5ea2a768c8b |
completed | May 10, 2026, 6:01 p.m. |
Created at: May 3, 2026, 4:13 p.m.