Triple
T14461603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mos Espa |
E358595
|
entity |
| Predicate | residents |
P2750
|
FINISHED |
| Object | Watto |
E739974
|
NE 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: Watto | Statement: [Mos Espa, residents, Watto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watto Context triple: [Mos Espa, residents, Watto]
-
A.
Watto
chosen
Watto is a greedy Toydarian junk dealer and slave owner on Tatooine in the Star Wars universe, best known as the former master of Anakin Skywalker.
-
B.
Jabba the Hutt
Jabba the Hutt is a powerful and ruthless Hutt crime lord from the Star Wars universe who controls a vast criminal empire from his palace on Tatooine.
-
C.
Sebulba
Sebulba is a ruthless Dug podracer from the Star Wars universe, best known as Anakin Skywalker's chief rival in the Boonta Eve Classic on Tatooine.
-
D.
Boba Fett
Boba Fett is a notorious Mandalorian bounty hunter in the Star Wars universe, known for his distinctive armor, stoic demeanor, and reputation as one of the galaxy’s most feared mercenaries.
-
E.
Lando Calrissian
Lando Calrissian is a charming, smooth-talking gambler, smuggler, and later Rebel leader in the Star Wars universe, known for his roguish charisma and complex loyalties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.