Triple
T8725762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawanishi N1K2-J Shiden-Kai |
E207126
|
entity |
| Predicate | alliedReportingName |
P19661
|
FINISHED |
| Object |
George
George is the Allied reporting name for the Kawanishi N1K2-J Shiden-Kai, a highly regarded Japanese World War II naval fighter aircraft.
|
E755683
|
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: George | Statement: [Kawanishi N1K2-J Shiden-Kai, alliedReportingName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [Kawanishi N1K2-J Shiden-Kai, alliedReportingName, George]
-
A.
George
George is the heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
-
B.
George
George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking and many other cultures.
-
C.
George
George is the given name of the Hero of Manila Bay, most famously associated with U.S. Admiral George Dewey, who led the decisive naval victory at the Battle of Manila Bay during the Spanish–American War.
-
D.
George
George is the given first name of G. Gordon Liddy, the former FBI agent and key operative in the Watergate scandal.
-
E.
George
George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
- 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: George Triple: [Kawanishi N1K2-J Shiden-Kai, alliedReportingName, George]
Generated description
George is the Allied reporting name for the Kawanishi N1K2-J Shiden-Kai, a highly regarded Japanese World War II naval fighter aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George is the Allied reporting name for the Kawanishi N1K2-J Shiden-Kai, a highly regarded Japanese World War II naval fighter aircraft.
-
A.
George
chosen
George is the Allied reporting name for the Kawanishi N1K1-J Shiden, a World War II Japanese Navy land-based fighter aircraft.
-
B.
George
George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
-
C.
George
George is the given name of Sir George Collier, a British Royal Navy officer known for his service during the late 18th and early 19th centuries.
-
D.
George
George is the given name of George Brydges Rodney, an 18th-century British naval officer and admiral noted for his victories during the American Revolutionary War.
-
E.
George
George is the given name of George Patton IV, a U.S. Army general and son of the famed World War II General George S. Patton.
- F. None of above.
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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d158b0481908249610458f97306 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5174db7881908597d5dc472adde9 |
completed | April 3, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69cf53e98a0081909055aacdb0549824 |
completed | April 3, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54de42a08190b1ccef9be3220c9e |
completed | April 3, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:36 p.m.