Triple
T18780317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Serenno |
E459237
|
entity |
| Predicate | titleHolderLightsaberColorAsJedi |
P44774
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Count of Serenno, titleHolderLightsaberColorAsJedi, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderLightsaberColorAsJedi Context triple: [Count of Serenno, titleHolderLightsaberColorAsJedi, blue]
-
A.
usesLightsaberOf
Indicates that one entity wields or makes use of the specific lightsaber that belongs to or is associated with another entity.
-
B.
JediRank
Indicates the formal rank or level of status a Jedi holds within the Jedi Order hierarchy.
-
C.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
D.
bladeColour
chosen
Indicates the color attribute assigned to a blade in the relationship.
-
E.
padawan
Indicates a mentor–apprentice relationship in which one entity is the junior learner or trainee under the guidance of another.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933e35a481908c21f7f488e1dd99 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.