Triple
T29340186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thimbleweed Park |
E744014
|
entity |
| Predicate | hasDifficultyModes |
P98721
|
FINISHED |
| Object | casual |
—
|
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: casual | Statement: [Thimbleweed Park, hasDifficultyModes, casual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifficultyModes Context triple: [Thimbleweed Park, hasDifficultyModes, casual]
-
A.
difficultyModes
chosen
Indicates the different levels of challenge or complexity available for performing a task, activity, or process.
-
B.
hasDifficultyEffect
Indicates that one entity causes a change in the difficulty level or challenge associated with another entity or activity.
-
C.
hasDifficultyContext
Indicates that something’s difficulty is defined, interpreted, or constrained within a particular situational or contextual framework.
-
D.
hasDifficultyClass
Indicates that something (such as a task, challenge, or problem) is associated with a specific level of difficulty or complexity.
-
E.
optionalBossMode
Indicates that an entity can optionally assume a boss or leadership role, but is not required to do so.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 28, 2026, 1:33 p.m.