Triple
T12657746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dancing Destroyer |
E302330
|
entity |
| Predicate | usedByCharacterType |
P31799
|
FINISHED |
| Object | heavyweight boxing champion |
—
|
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: heavyweight boxing champion | Statement: [The Dancing Destroyer, usedByCharacterType, heavyweight boxing champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByCharacterType Context triple: [The Dancing Destroyer, usedByCharacterType, heavyweight boxing champion]
-
A.
usedByCharacter
chosen
Indicates that something (such as an item, ability, or resource) is utilized or employed by a particular character.
-
B.
performedByCharacterType
Indicates that an action or event is carried out by a character belonging to a specified character type or category.
-
C.
usedByCharacterRace
Indicates that something (such as an item, ability, or feature) is utilized or employed by a particular character race.
-
D.
usesCharacterArchetype
Indicates that one entity employs or incorporates the character archetype represented by another entity in its narrative or design.
-
E.
supportedByCharacter
Indicates that an entity receives backing, assistance, or endorsement from a specific character.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:19 p.m.