Triple
T9034789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anakin Skywalker |
E216463
|
entity |
| Predicate | JediRank |
P85797
|
FINISHED |
| Object | 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: Jedi Knight | Statement: [Anakin Skywalker, JediRank, Jedi Knight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JediRank Context triple: [Anakin Skywalker, JediRank, Jedi Knight]
-
A.
roleDuringCloneWars
Indicates the specific function, position, or duties an entity held during the time period of the Clone Wars.
-
B.
padawan
Indicates a mentor–apprentice relationship in which one entity is the junior learner or trainee under the guidance of another.
-
C.
usesLightsaberOf
Indicates that one entity wields or makes use of the specific lightsaber that belongs to or is associated with another entity.
-
D.
approximateRebelStrength
Indicates an estimation of the size or capability of rebel forces rather than an exact measured strength.
-
E.
isRanked
Indicates that an entity has been assigned a position or level within an ordered hierarchy or comparative list.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:08 p.m.