Triple
T37096437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gears of War: Ultimate Edition |
E918575
|
entity |
| Predicate | resolutionSupport |
P187139
|
FINISHED |
| Object | 1080p |
—
|
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: 1080p | Statement: [Gears of War: Ultimate Edition, resolutionSupport, 1080p]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resolutionSupport Context triple: [Gears of War: Ultimate Edition, resolutionSupport, 1080p]
-
A.
resolutionRequires
Indicates that resolving one issue, task, or condition depends on first completing or satisfying another specified prerequisite.
-
B.
resolutionDevice
Indicates a device or instrument that is used to resolve, determine, or measure the outcome or value associated with another entity or process.
-
C.
resolutionOf
Indicates that one entity is the formal decision, outcome, or solution produced in response to, or for the purpose of addressing, another entity such as an issue, proposal, or problem.
-
D.
resolutionClass
Indicates the category or type of resolution applied to address or conclude a particular issue, conflict, or process.
-
E.
resolutionCommon
Indicates that multiple entities share the same resolution or level of detail in a given context.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.