Triple
T14337118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ジュリアン・シュウィンガー |
E355492
|
entity |
| Predicate | 指導した学生 |
P48
|
FINISHED |
| Object |
ロイ・グラウバー
ロイ・グラウバーは、量子光学の基礎を築き、2005年にノーベル物理学賞を受賞したアメリカの理論物理学者である。
|
E1093017
|
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: ロイ・グラウバー | Statement: [ジュリアン・シュウィンガー, 指導した学生, ロイ・グラウバー]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ロイ・グラウバー Context triple: [ジュリアン・シュウィンガー, 指導した学生, ロイ・グラウバー]
-
A.
Jerry Grote
Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
-
B.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
C.
Gilroy Roberts
Gilroy Roberts was an American sculptor and engraver best known as the ninth Chief Engraver of the U.S. Mint and for creating the obverse portrait of President John F. Kennedy on the Kennedy half dollar.
-
D.
Ralph Kabnis
Ralph Kabnis is the troubled, introspective schoolteacher protagonist of Jean Toomer’s Cane, whose experiences in the Jim Crow South explore themes of racial identity, alienation, and spiritual crisis.
-
E.
Ron Vawter
Ron Vawter was an American actor best known for his work with the experimental theater company The Wooster Group and for his intense, boundary-pushing stage and film performances.
- 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: ロイ・グラウバー Triple: [ジュリアン・シュウィンガー, 指導した学生, ロイ・グラウバー]
Generated description
ロイ・グラウバーは、量子光学の基礎を築き、2005年にノーベル物理学賞を受賞したアメリカの理論物理学者である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ロイ・グラウバー Target entity description: ロイ・グラウバーは、量子光学の基礎を築き、2005年にノーベル物理学賞を受賞したアメリカの理論物理学者である。
-
A.
Jerry Grote
Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
-
B.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
C.
Gilroy Roberts
Gilroy Roberts was an American sculptor and engraver best known as the ninth Chief Engraver of the U.S. Mint and for creating the obverse portrait of President John F. Kennedy on the Kennedy half dollar.
-
D.
Ralph Kabnis
Ralph Kabnis is the troubled, introspective schoolteacher protagonist of Jean Toomer’s Cane, whose experiences in the Jim Crow South explore themes of racial identity, alienation, and spiritual crisis.
-
E.
Ron Vawter
Ron Vawter was an American actor best known for his work with the experimental theater company The Wooster Group and for his intense, boundary-pushing stage and film performances.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47a9b5008190a15de0f427771505 |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4828f44c81908903d1391c83cc60 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:14 a.m.