Triple
T20696744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&S Space Shot |
E508680
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | S&S – Sansei Technologies |
—
|
NE NERFINISHED |
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: S&S – Sansei Technologies | Statement: [S&S Space Shot, manufacturer, S&S – Sansei Technologies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S&S – Sansei Technologies Context triple: [S&S Space Shot, manufacturer, S&S – Sansei Technologies]
-
A.
S&S Worldwide
chosen
S&S Worldwide is an amusement ride manufacturer best known for its high-thrill tower and launch attractions used in theme parks around the world.
-
B.
Soon-Tek
Soon-Tek is the given name of Soon-Tek Oh, a Korean-American actor known for his roles in film, television, and voice acting.
-
C.
SR Co., Ltd.
SR Co., Ltd. is a South Korean railway company best known for operating high-speed SRT train services connecting major cities including the Busan area.
-
D.
SIGA Technologies
SIGA Technologies is a pharmaceutical company specializing in the development of antiviral treatments, particularly for smallpox and other orthopoxvirus infections.
-
E.
Nishitetsu
Nishitetsu is a major Japanese private railway and bus company based in Fukuoka, operating extensive public transportation networks across the Kyushu region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1123d7c81908a1d16923437266d |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:10 p.m.