Triple
T29188685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padawan |
E739936
|
entity |
| Predicate | goalOfTraining |
P12747
|
FINISHED |
| Object | become Jedi Knight |
—
|
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: become Jedi Knight | Statement: [Padawan, goalOfTraining, become Jedi Knight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfTraining Context triple: [Padawan, goalOfTraining, become Jedi Knight]
-
A.
goalInPractice
Indicates that a particular goal is pursued, applied, or worked toward within the context of a practice or training activity.
-
B.
goalOfTrials
Indicates that the specified goal is the intended objective or outcome that the trials are designed to achieve or evaluate.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
coreGoalTaught
Indicates that a fundamental or primary goal is explicitly taught or conveyed to someone.
-
E.
trainingObjective
chosen
Indicates the goal or target outcome that a training process is designed to achieve.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66388afe48190a68caf56c9745007 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:01 p.m.