Triple
T8008216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kylo Ren |
E186417
|
entity |
| Predicate | laterForceAlignment |
P11169
|
FINISHED |
| Object | light side |
—
|
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: light side | Statement: [Kylo Ren, laterForceAlignment, light side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterForceAlignment Context triple: [Kylo Ren, laterForceAlignment, light side]
-
A.
reasonForAlignment
Indicates the justification or cause that explains why one entity’s alignment, stance, or position corresponds to or matches another.
-
B.
unifiesAlignmentAcross
Indicates that one entity standardizes or harmonizes the alignment or orientation of multiple other entities so they are consistent with each other.
-
C.
basedOnAlignmentOf
Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
-
D.
originallyAlignedWith
Indicates that an entity was initially in agreement, support, or association with another entity or group, regardless of any later changes in stance or affiliation.
-
E.
alignmentChange
chosen
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6e1c9081909018bcebb18906f6 |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:19 p.m.