Triple
T3783785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battleship |
E85477
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Yugi Nagata
Yugi Nagata is a fictional naval officer featured in the military science fiction film "Battleship."
|
E388176
|
NE FINISHED |
How this triple was built (4 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: Yugi Nagata | Statement: [Battleship, character, Yugi Nagata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yugi Nagata Context triple: [Battleship, character, Yugi Nagata]
-
A.
Yorihito
Yorihito was a Japanese imperial prince of the Higashifushimi-no-miya house who served as a high-ranking naval officer during the late Meiji and Taishō periods.
-
B.
Hoshi Tōru
Hoshi Tōru was a prominent Japanese politician of the Meiji era known for his leadership in early constitutional and parliamentary politics.
-
C.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
D.
Yuji
Yuji is a common Japanese masculine given name used by various real and fictional individuals.
-
E.
Daisuke
Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yugi Nagata Triple: [Battleship, character, Yugi Nagata]
Generated description
Yugi Nagata is a fictional naval officer featured in the military science fiction film "Battleship."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yugi Nagata Target entity description: Yugi Nagata is a fictional naval officer featured in the military science fiction film "Battleship."
-
A.
Yorihito
Yorihito was a Japanese imperial prince of the Higashifushimi-no-miya house who served as a high-ranking naval officer during the late Meiji and Taishō periods.
-
B.
Hoshi Tōru
Hoshi Tōru was a prominent Japanese politician of the Meiji era known for his leadership in early constitutional and parliamentary politics.
-
C.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
D.
Yuji
Yuji is a common Japanese masculine given name used by various real and fictional individuals.
-
E.
Daisuke
Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
- F. None of above. chosen
Provenance (5 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04747448190be484cda5b2a7a8c |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1730bbc8190a2f5f70ebc5a528a |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f2538eac81908a6c85ddab4e2356 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:13 p.m.