Triple
T11569181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-123 |
E274338
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object | Takao Doi |
E422033
|
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: Takao Doi | Statement: [STS-123, missionSpecialist, Takao Doi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takao Doi Context triple: [STS-123, missionSpecialist, Takao Doi]
-
A.
Takao Doi
chosen
Takao Doi is a Japanese astronaut and engineer who flew on multiple Space Shuttle missions and became one of the first Japanese astronauts to perform a spacewalk.
-
B.
Takamagahara
Takamagahara is the heavenly realm in Shinto mythology, home of the kami and the divine seat of celestial authority.
-
C.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
D.
Takao
Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
E.
Kita-dake Sansō
Kita-dake Sansō is a popular mountain hut in Japan’s Southern Alps that serves as a key base and lodging point for climbers ascending Mount Kita.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8dec908819080d97cd33be55b3f |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.