Triple
T3818643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alden Ehrenreich as Han Solo |
E84317
|
entity |
| Predicate | franchiseCharacter |
P52434
|
FINISHED |
| Object | smuggler |
—
|
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: smuggler | Statement: [Alden Ehrenreich as Han Solo, franchiseCharacter, smuggler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseCharacter Context triple: [Alden Ehrenreich as Han Solo, franchiseCharacter, smuggler]
-
A.
franchiseIconOf
Indicates that one entity serves as the primary symbolic character, logo, or emblem representing a particular franchise.
-
B.
brandCharacter
Indicates that one entity serves as a brand character or mascot representing another entity (typically a brand or product).
-
C.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
D.
franchiseCreatorOf
Indicates that an entity is the original creator or originator of a particular franchise.
-
E.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
- 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.