Triple
T37551465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oculus |
E933598
|
entity |
| Predicate | requiresRoleComposition |
P6843
|
FINISHED |
| Object | tank, healer, damage dealers |
—
|
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: tank, healer, damage dealers | Statement: [The Oculus, requiresRoleComposition, tank, healer, damage dealers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresRoleComposition Context triple: [The Oculus, requiresRoleComposition, tank, healer, damage dealers]
-
A.
requiresRole
chosen
Indicates that performing an action or accessing a resource is contingent on the subject having a specified role or set of roles.
-
B.
includesRoles
Indicates that one entity contains or encompasses one or more specified roles within its scope or structure.
-
C.
roleDependsOn
Indicates that the existence, behavior, or permissions of one role are contingent upon or derived from another role.
-
D.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
E.
complexRole
Indicates that an entity holds a multifaceted or composite role involving multiple responsibilities, functions, or relational aspects within a given context.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a006fe981488190b4287289a3327664 |
completed | May 10, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_6a006f6976ec8190ba2c04fbaa946345 |
completed | May 10, 2026, 11:43 a.m. |
Created at: May 3, 2026, 4:17 p.m.