Triple
T15578384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otachi |
E374426
|
entity |
| Predicate | kills |
P19780
|
FINISHED |
| Object | Crimson Typhoon |
E75279
|
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: Crimson Typhoon | Statement: [Otachi, kills, Crimson Typhoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crimson Typhoon Context triple: [Otachi, kills, Crimson Typhoon]
-
A.
Crimson Typhoon
chosen
Crimson Typhoon is a three-armed Chinese Mark-4 Jaeger from the Pacific Rim universe, renowned for its agility and distinctive multi-pilot combat style against kaiju.
-
B.
Matsukaze
Matsukaze is a classic Noh play, traditionally attributed to Zeami, that poignantly depicts the lingering spirits of two salt-making sisters yearning for their lost lover.
-
C.
The Typhoon
The Typhoon is a 1914 silent drama film starring Sessue Hayakawa that helped establish him as one of early Hollywood’s first major Asian leading men.
-
D.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
-
E.
Unternehmen Taifun
Unternehmen Taifun, or Operation Typhoon, was Nazi Germany’s 1941 military offensive aimed at capturing Moscow during World War II.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c3efb48190ad94d9d326c6c2c0 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:11 a.m.