Triple
T37554329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightslayer Armor |
E933658
|
entity |
| Predicate | setBonusType |
P173899
|
FINISHED |
| Object | stealth bonus |
—
|
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: stealth bonus | Statement: [Nightslayer Armor, setBonusType, stealth bonus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setBonusType Context triple: [Nightslayer Armor, setBonusType, stealth bonus]
-
A.
supportsBonus
Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
-
B.
bonusCategory
chosen
Indicates the classification or type of bonus associated with an entity or transaction.
-
C.
bingoBonus
Indicates that an entity receives or is associated with a bonus specifically awarded in the context of a bingo game or bingo-related activity.
-
D.
gameplayBonus
Indicates a relationship where an entity provides an extra advantage, reward, or enhancement to another entity within a game’s mechanics or play experience.
-
E.
typeOfIncentive
Indicates the specific kind or category of incentive associated with an entity or action.
- 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_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.