Triple
T678220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fumihiko Maki |
E13124
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maki
Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
|
E112817
|
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: Maki | Statement: [Fumihiko Maki, familyName, Maki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maki Context triple: [Fumihiko Maki, familyName, Maki]
-
A.
Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
-
B.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
C.
Matsubara
Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
-
D.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
E.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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: Maki Triple: [Fumihiko Maki, familyName, Maki]
Generated description
Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maki Target entity description: Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
-
A.
Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
-
B.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
C.
Matsubara
Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
-
D.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
E.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac118aa3c48190be7ca68d17457ea8 |
completed | March 7, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69ac11e8f598819083bd002de35fa856 |
completed | March 7, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac124d385c8190b75ad3a7213a796f |
completed | March 7, 2026, 11:55 a.m. |
Created at: March 1, 2026, 7:36 p.m.