Triple
T7642196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahsoka |
E173034
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Dave Filoni |
E358593
|
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: Dave Filoni | Statement: [Ahsoka, developer, Dave Filoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Filoni Context triple: [Ahsoka, developer, Dave Filoni]
-
A.
Dave Filoni
chosen
Dave Filoni is an American filmmaker and animator best known for his key creative leadership on numerous Star Wars animated series and live-action projects for Lucasfilm.
-
B.
Chris McKenna
Chris McKenna is an American screenwriter and producer known for his work on films like the Marvel Cinematic Universe’s Spider-Man series and TV shows such as Community.
-
C.
Scott Z. Burns
Scott Z. Burns is an American screenwriter, director, and producer known for socially conscious films such as Contagion, The Informant!, and The Report.
-
D.
Scott Joss
Scott Joss is an American country and bluegrass fiddler, mandolinist, and singer best known for his longtime work with artists like Merle Haggard and Dwight Yoakam.
-
E.
Mark Fergus
Mark Fergus is an American screenwriter and filmmaker best known for co-writing acclaimed films such as "Children of Men" and "Iron Man."
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8fdfe88190a535bf050eff5abb |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:58 p.m.