Triple
T18916900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anakin Skywalker’s lightsaber |
E462745
|
entity |
| Predicate | recoveredFrom |
P17408
|
FINISHED |
| Object | Mustafar |
—
|
NE NERFINISHED |
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: Mustafar | Statement: [Anakin Skywalker’s lightsaber, recoveredFrom, Mustafar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mustafar Context triple: [Anakin Skywalker’s lightsaber, recoveredFrom, Mustafar]
-
A.
Mustafar
chosen
Mustafar is a volcanic, lava-covered planet in the Star Wars universe, known as the site of the climactic duel between Anakin Skywalker and Obi-Wan Kenobi.
-
B.
White Dagoba
White Dagoba is a prominent Tibetan-style Buddhist stupa and landmark situated on an island within Beijing’s historic Beihai Park.
-
C.
Death Star
The Death Star is a colossal, moon-sized Imperial battle station in the Star Wars universe, capable of destroying entire planets with its superlaser.
-
D.
Plo Koon
Plo Koon is a Kel Dor Jedi Master and member of the Jedi High Council known for his wisdom, calm demeanor, and leadership during the Clone Wars in the Star Wars universe.
-
E.
Kessel
Kessel is a French surname most notably borne by Joseph Kessel, a prominent 20th-century novelist and journalist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.