Triple
T16547138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destroy All Monsters |
E401970
|
entity |
| Predicate | starsActor |
P5563
|
FINISHED |
| Object |
Jun Tazaki
Jun Tazaki was a Japanese actor best known for his frequent roles in Toho’s classic kaiju and science-fiction films of the 1960s.
|
E1255137
|
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: Jun Tazaki | Statement: [Destroy All Monsters, starsActor, Jun Tazaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jun Tazaki Context triple: [Destroy All Monsters, starsActor, Jun Tazaki]
-
A.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
B.
Shuyo Murata
Shuyo Murata is a Japanese video game writer and director best known for his work on the Metal Gear series, including co-writing Metal Gear Solid 4: Guns of the Patriots.
-
C.
Yukio Hoshino
Yukio Hoshino is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Yukio.
-
D.
Katsuya Susaki
Katsuya Susaki is a Japanese screenwriter best known for his work on the World War II film "None But the Brave."
-
E.
Shinichi Tamura
Shinichi Tamura is a key executive and scientific leader associated with Heptares Therapeutics, a biopharmaceutical company specializing in G protein-coupled receptor (GPCR) drug discovery.
- 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: Jun Tazaki Triple: [Destroy All Monsters, starsActor, Jun Tazaki]
Generated description
Jun Tazaki was a Japanese actor best known for his frequent roles in Toho’s classic kaiju and science-fiction films of the 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jun Tazaki Target entity description: Jun Tazaki was a Japanese actor best known for his frequent roles in Toho’s classic kaiju and science-fiction films of the 1960s.
-
A.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
B.
Shuyo Murata
Shuyo Murata is a Japanese video game writer and director best known for his work on the Metal Gear series, including co-writing Metal Gear Solid 4: Guns of the Patriots.
-
C.
Yukio Hoshino
Yukio Hoshino is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Yukio.
-
D.
Katsuya Susaki
Katsuya Susaki is a Japanese screenwriter best known for his work on the World War II film "None But the Brave."
-
E.
Shinichi Tamura
Shinichi Tamura is a key executive and scientific leader associated with Heptares Therapeutics, a biopharmaceutical company specializing in G protein-coupled receptor (GPCR) drug discovery.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbe3fb48190bad143b50dc73c7e |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb40dc08190b9d6a04f3c19f57d |
completed | May 11, 2026, 4:48 a.m. |
| NEDg | Description generation | batch_6a01611507bc8190a55d3c67f967ce89 |
completed | May 11, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016166c854819090571ee05e77995d |
completed | May 11, 2026, 4:56 a.m. |
Created at: April 10, 2026, 5:15 a.m.