Triple
T13872333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goh |
E333484
|
entity |
| Predicate | variantSpellingOf |
P457
|
FINISHED |
| Object |
Go (surname)
Go is an East Asian surname, commonly associated with Korean and Chinese lineages and represented by various characters and romanizations.
|
E1065464
|
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: Go (surname) | Statement: [Goh, variantSpellingOf, Go (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go (surname) Context triple: [Goh, variantSpellingOf, Go (surname)]
-
A.
Yamada
Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
-
B.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
C.
Goshono-yu
Goshono-yu is a popular public hot spring bathhouse in the Kinosaki Onsen resort area, known for its relaxing atmosphere and traditional Japanese onsen experience.
-
D.
Yamakoshi
Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
-
E.
Suo-Gân
Suo-Gân is a traditional Welsh lullaby known for its gentle melody and soothing, lyrical character.
- 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: Go (surname) Triple: [Goh, variantSpellingOf, Go (surname)]
Generated description
Go is an East Asian surname, commonly associated with Korean and Chinese lineages and represented by various characters and romanizations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go (surname) Target entity description: Go is an East Asian surname, commonly associated with Korean and Chinese lineages and represented by various characters and romanizations.
-
A.
Yamada
Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
-
B.
Yamamoto
Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
-
C.
Goshono-yu
Goshono-yu is a popular public hot spring bathhouse in the Kinosaki Onsen resort area, known for its relaxing atmosphere and traditional Japanese onsen experience.
-
D.
Yamakoshi
Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
-
E.
Suo-Gân
Suo-Gân is a traditional Welsh lullaby known for its gentle melody and soothing, lyrical character.
- F. None of above. chosen
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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c20da9448190b3167b091bd39b94 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c2cc63148190b9ca2828abe54286 |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.