Triple
T11990757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Apiston |
E285397
|
entity |
| Predicate | usesAbilityFor |
P100686
|
FINISHED |
| Object | defense against enemies |
—
|
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: defense against enemies | Statement: [Hugh Apiston, usesAbilityFor, defense against enemies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAbilityFor Context triple: [Hugh Apiston, usesAbilityFor, defense against enemies]
-
A.
hasProtagonistAbility
Indicates that a protagonist possesses a specific ability, power, or special skill.
-
B.
forceAbility
Indicates that one entity has the power or capacity to compel, influence, or cause another entity to act or change in a particular way.
-
C.
usesPowerFor
chosen
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
-
D.
isCapableOf
Indicates that an entity has the ability or capacity to perform a particular action or function.
-
E.
usesPowerType
Indicates that one entity operates or functions by means of a specified type or source of power.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.