Triple
T29188653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngling |
E739935
|
entity |
| Predicate | ethicalTraining |
P43552
|
FINISHED |
| Object | Jedi Code |
—
|
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: Jedi Code | Statement: [Youngling, ethicalTraining, Jedi Code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalTraining Context triple: [Youngling, ethicalTraining, Jedi Code]
-
A.
ethicalInstruction
chosen
Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
-
B.
ethicalQuality
Indicates that an entity possesses a moral or ethical characteristic, such as goodness, virtue, or integrity, as evaluated by some ethical standard.
-
C.
ethicalResponsibility
Indicates a relationship in which an entity is morally obligated to act, decide, or respond in a certain way toward another entity or situation.
-
D.
ethicalPrinciples
Indicates a relationship where certain actions, decisions, or agents are governed, guided, or constrained by specified ethical rules, norms, or moral standards.
-
E.
ethicalConnotation
Indicates that one entity is associated with a positive, negative, or otherwise specific moral or ethical evaluation in relation to another entity or context.
- 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.