Triple
T7377619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyotomi Tsurumatsu |
E170166
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tsurumatsu
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
|
E690710
|
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: Tsurumatsu | Statement: [Toyotomi Tsurumatsu, givenName, Tsurumatsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsurumatsu Context triple: [Toyotomi Tsurumatsu, givenName, Tsurumatsu]
-
A.
Ichigaya
Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
-
B.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
C.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
D.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
E.
Yamakita
Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
- 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: Tsurumatsu Triple: [Toyotomi Tsurumatsu, givenName, Tsurumatsu]
Generated description
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsurumatsu Target entity description: Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
-
A.
Ichigaya
Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
-
B.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
C.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
D.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
E.
Yamakita
Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1aa12888190b81e37b9fcd2adc0 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c941f469c881908e83cfd6c8191af1 |
completed | March 29, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69c945f81a708190a5c83f0f6a8f6a71 |
completed | March 29, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9466cb89c8190ae4a045290d1964a |
completed | March 29, 2026, 3:34 p.m. |
Created at: March 27, 2026, 3:07 p.m.