Triple
T3818758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joonas Suotamo as Chewbacca |
E84319
|
entity |
| Predicate | characterWeapon |
P7745
|
FINISHED |
| Object | bowcaster |
—
|
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: bowcaster | Statement: [Joonas Suotamo as Chewbacca, characterWeapon, bowcaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterWeapon Context triple: [Joonas Suotamo as Chewbacca, characterWeapon, bowcaster]
-
A.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
-
B.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
C.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
D.
associatedWithWeapon
Indicates that an entity has a connection or involvement with a weapon, such as ownership, use, presence, or relevance in a given context.
-
E.
weapon
Indicates that one entity is used as a weapon by, or serves as the weapon of, 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.