Triple
T38593688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm Bow |
E932512
|
entity |
| Predicate | gameRoleAssociation |
P100032
|
FINISHED |
| Object | damage hero weapon |
—
|
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: damage hero weapon | Statement: [Storm Bow, gameRoleAssociation, damage hero weapon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameRoleAssociation Context triple: [Storm Bow, gameRoleAssociation, damage hero weapon]
-
A.
gameRoleForPlayers
Indicates the specific role or function that players have within a particular game or gameplay context.
-
B.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
C.
memberPlaysRole
Indicates that a member participates in or fulfills a specific role within a group, organization, or context.
-
D.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
E.
roleInGameplay
chosen
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:32 p.m.