Triple
T12593478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Operation Shō-Gō 1 |
E300668
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sho-1 |
E919205
|
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: Sho-1 | Statement: [Japanese Operation Shō-Gō 1, alsoKnownAs, Sho-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sho-1 Context triple: [Japanese Operation Shō-Gō 1, alsoKnownAs, Sho-1]
-
A.
Sho-Go 1
chosen
Sho-Go 1 was a major Japanese naval operation in World War II intended to counter the American invasion of the Philippines by luring and destroying U.S. carrier forces.
-
B.
Shou
Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
-
C.
Shuh
Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
-
D.
Shuko
Shuko is a German hip-hop producer known for his soulful, sample-based beats and collaborations with artists across the US and Europe.
-
E.
Shue
Shue is the surname of American actress Elisabeth Shue, known for her roles in films such as "The Karate Kid," "Back to the Future Part II," and "Leaving Las Vegas."
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668679dfc8190ac05eeb200f23985 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:07 p.m.