Triple
T15190785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In America |
E363003
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Boni Yanagisawa
Boni Yanagisawa is an American stuntwoman and actress known for her work in film and television action roles.
|
E1263080
|
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: Boni Yanagisawa | Statement: [In America, castMember, Boni Yanagisawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boni Yanagisawa Context triple: [In America, castMember, Boni Yanagisawa]
-
A.
Heisuke Yanagawa
Heisuke Yanagawa was a senior Imperial Japanese Army general who played a prominent role in Japan’s military operations in China during the Second Sino-Japanese War.
-
B.
Ryo Satō
Ryo Satō is a Japanese personal name shared by multiple individuals, commonly appearing in contexts such as sports, entertainment, and other public professions in Japan.
-
C.
Masi Oka
Masi Oka is a Japanese-American actor and digital effects artist best known for his role as Hiro Nakamura on the television series "Heroes."
-
D.
Kei Satō
Kei Satō is a Japanese politician and member of the House of Councillors known for his involvement in contemporary national politics.
-
E.
Shun Satō
Shun Satō is a Japanese figure skater known for competing internationally in men's singles events.
- 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: Boni Yanagisawa Triple: [In America, castMember, Boni Yanagisawa]
Generated description
Boni Yanagisawa is an American stuntwoman and actress known for her work in film and television action roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boni Yanagisawa Target entity description: Boni Yanagisawa is an American stuntwoman and actress known for her work in film and television action roles.
-
A.
Heisuke Yanagawa
Heisuke Yanagawa was a senior Imperial Japanese Army general who played a prominent role in Japan’s military operations in China during the Second Sino-Japanese War.
-
B.
Ryo Satō
Ryo Satō is a Japanese personal name shared by multiple individuals, commonly appearing in contexts such as sports, entertainment, and other public professions in Japan.
-
C.
Masi Oka
Masi Oka is a Japanese-American actor and digital effects artist best known for his role as Hiro Nakamura on the television series "Heroes."
-
D.
Kei Satō
Kei Satō is a Japanese politician and member of the House of Councillors known for his involvement in contemporary national politics.
-
E.
Shun Satō
Shun Satō is a Japanese figure skater known for competing internationally in men's singles events.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c30b5388190b5c4190d89c7ae97 |
completed | May 11, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_6a018d777ab081909efd8727c7eb99b8 |
completed | May 11, 2026, 8:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e2a15f081909377a30925406417 |
completed | May 11, 2026, 8:07 a.m. |
Created at: April 10, 2026, 3:10 a.m.