Triple
T29561808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaminoans |
E750056
|
entity |
| Predicate | createdCloneTemplateFrom |
P192981
|
FINISHED |
| Object | Jango Fett |
—
|
NE NERFINISHED |
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: Jango Fett | Statement: [Kaminoans, createdCloneTemplateFrom, Jango Fett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdCloneTemplateFrom Context triple: [Kaminoans, createdCloneTemplateFrom, Jango Fett]
-
A.
cloneProject
Indicates creating an exact copy of an existing project, preserving its structure and content as a new, separate instance.
-
B.
cloneNumber
Indicates that one entity is a specific numbered clone or copy within a set of clones of another entity.
-
C.
cloneGeneration
Indicates the creation of a new entity as an exact or near-exact copy (clone) of an existing entity.
-
D.
createdToReplace
Indicates that one entity was intentionally created for the purpose of taking over the role, function, or position of another entity.
-
E.
creationResult
chosen
Indicates that one entity is the outcome or product that comes into existence as a result of another entity’s act of creation.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 28, 2026, 5:20 p.m.