Triple
T3818747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joonas Suotamo as Chewbacca |
E84319
|
entity |
| Predicate | castingReason |
P52446
|
FINISHED |
| Object | actor’s height suitable for Chewbacca |
—
|
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: actor’s height suitable for Chewbacca | Statement: [Joonas Suotamo as Chewbacca, castingReason, actor’s height suitable for Chewbacca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castingReason Context triple: [Joonas Suotamo as Chewbacca, castingReason, actor’s height suitable for Chewbacca]
-
A.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
B.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
C.
typicalCasting
Indicates that one entity is the usual or standard casting choice for portraying another entity (such as a role, character, or type).
-
D.
castingType
Indicates the specific method or category of casting used to transform or represent one entity in terms of another.
-
E.
actingRoleType
Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69aef18748648190b85e62f7796ff4b4 |
completed | March 9, 2026, 4:12 p.m. |
Created at: March 9, 2026, 3:17 p.m.