Triple
T7969643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batuu |
E185290
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Hondo Ohnaka |
E420932
|
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: Hondo Ohnaka | Statement: [Batuu, associatedWith, Hondo Ohnaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hondo Ohnaka Context triple: [Batuu, associatedWith, Hondo Ohnaka]
-
A.
Hondo Ohnaka
chosen
Hondo Ohnaka is a roguish Weequay pirate and charming scoundrel in the Star Wars universe, known for his opportunistic alliances and humorous, self-serving antics.
-
B.
Mako Kamitsuna
Mako Kamitsuna is a Japanese-born film editor and filmmaker known for her work on critically acclaimed independent films, including the period drama "Mudbound."
-
C.
Shinya
Shinya is a Japanese given name commonly used for males.
-
D.
Kojiro Umezaki
Kojiro Umezaki is a Japanese-born shakuhachi (bamboo flute) player and composer known for blending traditional Japanese music with contemporary and cross-cultural collaborations.
-
E.
Shoichi Sakata
Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd1c9a081909759e5bf5237204e |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0aadcc48190ae35154195099029 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.