Triple
T28905940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richie Norris |
E733077
|
entity |
| Predicate | usesToDefeatEnemy |
P44055
|
FINISHED |
| Object | grandmother's music collection |
—
|
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: grandmother's music collection | Statement: [Richie Norris, usesToDefeatEnemy, grandmother's music collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesToDefeatEnemy Context triple: [Richie Norris, usesToDefeatEnemy, grandmother's music collection]
-
A.
methodOfDefeat
chosen
Indicates the specific way or technique by which one entity defeats or overcomes another.
-
B.
usesEnemyFigure
Indicates that one entity employs or incorporates an enemy character or figure in relation to another entity or context.
-
C.
cannotBeDefeatedBy
Indicates that one entity is invulnerable to defeat by another specified entity or set of entities.
-
D.
designedToDefeat
Indicates that one entity is intentionally created or configured with the purpose of overcoming, neutralizing, or rendering ineffective another entity.
-
E.
enemyPower
Indicates that one entity possesses or exerts hostile or opposing power relative to another entity.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 8:07 a.m.