Triple
T18916846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakku |
E462744
|
entity |
| Predicate | visitedBy |
P1096
|
FINISHED |
| Object | Lor San Tekka |
—
|
NE NERFINISHED |
How this triple was built (3 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: Lor San Tekka | Statement: [Jakku, visitedBy, Lor San Tekka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lor San Tekka Context triple: [Jakku, visitedBy, Lor San Tekka]
-
A.
Shaak Ti
Shaak Ti is a Togruta Jedi Master in the Star Wars universe, known for her wisdom, calm demeanor, and leadership during the Clone Wars.
-
B.
Lor-Van
Lor-Van is a Kryptonian scientist from DC Comics lore, best known as the father of Superman’s mother, Lara.
-
C.
Jedi Master Cin Drallig
Jedi Master Cin Drallig was a renowned Jedi Temple swordmaster and lightsaber instructor who trained numerous Jedi in combat during the final years of the Galactic Republic.
-
D.
Jedi Master Arca Jeth
Jedi Master Arca Jeth is a wise and influential Old Republic-era Jedi mentor from Star Wars Legends, known for training notable Jedi such as Ulic Qel-Droma and helping shape the events of the early Jedi-Sith conflicts.
-
E.
Kyle Katarn
Kyle Katarn is a former Imperial officer turned mercenary and Jedi who plays a central role in the Star Wars expanded universe, particularly in the Dark Forces and Jedi Knight video game series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lor San Tekka Target entity description: Lor San Tekka is an elderly explorer and member of the Church of the Force in the Star Wars universe, known for his knowledge of Jedi lore and his role in aiding the Resistance.
-
A.
Shaak Ti
Shaak Ti is a Togruta Jedi Master in the Star Wars universe, known for her wisdom, calm demeanor, and leadership during the Clone Wars.
-
B.
Lor-Van
Lor-Van is a Kryptonian scientist from DC Comics lore, best known as the father of Superman’s mother, Lara.
-
C.
Jedi Master Cin Drallig
Jedi Master Cin Drallig was a renowned Jedi Temple swordmaster and lightsaber instructor who trained numerous Jedi in combat during the final years of the Galactic Republic.
-
D.
Jedi Master Arca Jeth
Jedi Master Arca Jeth is a wise and influential Old Republic-era Jedi mentor from Star Wars Legends, known for training notable Jedi such as Ulic Qel-Droma and helping shape the events of the early Jedi-Sith conflicts.
-
E.
Kyle Katarn
Kyle Katarn is a former Imperial officer turned mercenary and Jedi who plays a central role in the Star Wars expanded universe, particularly in the Dark Forces and Jedi Knight video game series.
- F. None of above. chosen
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c627724881909cf63c67d64321e8 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.