Triple
T13459680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomiichi Murayama |
E311326
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tomiichi
Tomiichi is a Japanese politician best known for serving as Prime Minister of Japan in the mid-1990s.
|
E1101408
|
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: Tomiichi | Statement: [Tomiichi Murayama, givenName, Tomiichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomiichi Context triple: [Tomiichi Murayama, givenName, Tomiichi]
-
A.
Takeo
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
-
B.
Noboru
Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
-
C.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
D.
Toshihide
Toshihide is a Japanese given name most notably borne by Nobel Prize–winning theoretical physicist Toshihide Maskawa.
-
E.
Shinzo
Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
- 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: Tomiichi Triple: [Tomiichi Murayama, givenName, Tomiichi]
Generated description
Tomiichi is a Japanese politician best known for serving as Prime Minister of Japan in the mid-1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomiichi Target entity description: Tomiichi is a Japanese politician best known for serving as Prime Minister of Japan in the mid-1990s.
-
A.
Takeo
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
-
B.
Noboru
Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
-
C.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
D.
Toshihide
Toshihide is a Japanese given name most notably borne by Nobel Prize–winning theoretical physicist Toshihide Maskawa.
-
E.
Shinzo
Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6471ba348190a0cd1745daff6114 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd68f6f94881908d878d042f425d2d |
completed | May 8, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd698aa8e48190b87a2758d7067b61 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 9, 2026, 9:41 p.m.