Triple
T10952391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zett Jukassa |
E258755
|
entity |
| Predicate | familyConnectionBehindTheScenes |
P96806
|
FINISHED |
| Object | portrayed by George Lucas’s son |
—
|
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: portrayed by George Lucas’s son | Statement: [Zett Jukassa, familyConnectionBehindTheScenes, portrayed by George Lucas’s son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyConnectionBehindTheScenes Context triple: [Zett Jukassa, familyConnectionBehindTheScenes, portrayed by George Lucas’s son]
-
A.
familyConnectionTo
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
B.
followedRealLifeFamily
Indicates that one person chose to follow a family member from their real life on a platform or service.
-
C.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
D.
exploresBehindTheScenesOf
Indicates that an entity investigates and reveals the inner workings, hidden processes, or off-camera aspects of another entity.
-
E.
familyDepiction
Indicates that one entity visually represents or portrays members of a family or familial relationships.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fcfb3c8190b7823869670184a6 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.