Triple
T7642324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darth Vader |
E173036
|
entity |
| Predicate | turnsToDarkSide |
P77489
|
FINISHED |
| Object | after fall of the Jedi Order |
—
|
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: after fall of the Jedi Order | Statement: [Darth Vader, turnsToDarkSide, after fall of the Jedi Order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnsToDarkSide Context triple: [Darth Vader, turnsToDarkSide, after fall of the Jedi Order]
-
A.
usesLightsaberOf
Indicates that one entity wields or makes use of the specific lightsaber that belongs to or is associated with another entity.
-
B.
typeOfRebel
Indicates that one entity is a rebel belonging to, or classified under, a particular type or category of rebellion.
-
C.
turnsIn
Indicates that an entity submits or hands over something, typically work or an item, to another party or authority.
-
D.
deathEmpire
Indicates a relationship where an empire causes, is associated with, or is characterized by widespread death or destruction.
-
E.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:58 p.m.