Triple
T17335399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C1-10P |
E420922
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Ahsoka |
—
|
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: Ahsoka | Statement: [C1-10P, appearsIn, Ahsoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahsoka Context triple: [C1-10P, appearsIn, Ahsoka]
-
A.
Ahsoka
chosen
Ahsoka is a live-action Star Wars television series centered on former Jedi Padawan Ahsoka Tano, continuing her story in the era after the fall of the Empire.
-
B.
Tani Rey
Tani Rey is a former police academy recruit who becomes a key member of the elite task force in the rebooted television series Hawaii Five-0.
-
C.
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.
-
D.
Neeku Vozo
Neeku Vozo is a cheerful, literal-minded Nikto mechanic and loyal friend who serves on the Colossus platform in the animated series Star Wars Resistance.
-
E.
Fennec Shand
Fennec Shand is a skilled mercenary and elite assassin in the Star Wars universe who becomes a close ally and enforcer to Boba Fett.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a1125d88190b67243b30d93ce1c |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.