Triple
T37551451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oculus |
E933598
|
entity |
| Predicate | difficultyReputationReward |
P190115
|
FINISHED |
| Object | Wyrmrest Accord (at original release) |
—
|
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: Wyrmrest Accord (at original release) | Statement: [The Oculus, difficultyReputationReward, Wyrmrest Accord (at original release)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: difficultyReputationReward Context triple: [The Oculus, difficultyReputationReward, Wyrmrest Accord (at original release)]
-
A.
rewardScope
Indicates the extent, range, or conditions under which a reward applies within a given context or system.
-
B.
tributeAssessmentReputation
Indicates the evaluation of an entity’s reputation specifically in the context of determining or justifying a tribute assessment.
-
C.
rewardPotential
Indicates the degree to which an action, option, or outcome is expected to yield positive benefits or rewards.
-
D.
rewardModel
Indicates a relationship where one entity serves as a model or framework for assigning rewards or evaluating outcomes for another entity or process.
-
E.
hasAwardReputation
Indicates that an entity is recognized or reputed for having received a particular award or set of awards.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:17 p.m.