Triple
T17359619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koichi Wakata |
E422032
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wakata
Wakata is a Japanese surname most notably associated with astronaut Koichi Wakata, a veteran Japan Aerospace Exploration Agency (JAXA) spacefarer.
|
E1268886
|
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: Wakata | Statement: [Koichi Wakata, familyName, Wakata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakata Context triple: [Koichi Wakata, familyName, Wakata]
-
A.
Tatewari
Tatewari is a central fire deity in Wixárika (Huichol) religion, associated with ancestral wisdom, ritual purification, and the sacred use of peyote.
-
B.
Wakaya
Wakaya is a privately owned island in Fiji renowned for its exclusive luxury resort, pristine beaches, and surrounding coral reefs.
-
C.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
D.
Kawasoti
Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
-
E.
Kawazu
Kawazu is a small coastal town in Shizuoka Prefecture, Japan, known for its early-blooming Kawazu-zakura cherry blossoms and hot spring resorts.
- 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: Wakata Triple: [Koichi Wakata, familyName, Wakata]
Generated description
Wakata is a Japanese surname most notably associated with astronaut Koichi Wakata, a veteran Japan Aerospace Exploration Agency (JAXA) spacefarer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wakata Target entity description: Wakata is a Japanese surname most notably associated with astronaut Koichi Wakata, a veteran Japan Aerospace Exploration Agency (JAXA) spacefarer.
-
A.
Tatewari
Tatewari is a central fire deity in Wixárika (Huichol) religion, associated with ancestral wisdom, ritual purification, and the sacred use of peyote.
-
B.
Wakaya
Wakaya is a privately owned island in Fiji renowned for its exclusive luxury resort, pristine beaches, and surrounding coral reefs.
-
C.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
D.
Kawasoti
Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
-
E.
Kawazu
Kawazu is a small coastal town in Shizuoka Prefecture, Japan, known for its early-blooming Kawazu-zakura cherry blossoms and hot spring resorts.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4be7448190988593ee342348c1 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01afe164d48190aa3d4eefe0ef12a3 |
completed | May 11, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_6a01b1151a488190ad4523c48f9e305c |
completed | May 11, 2026, 10:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b18771f481908fb98fce28d7a72e |
completed | May 11, 2026, 10:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.