Triple
T14236761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Ameche |
E352901
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ameche
Ameche is an Italian-origin surname most notably associated with American football star Alan Ameche and actor Don Ameche.
|
E1086966
|
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: Ameche | Statement: [Alan Ameche, familyName, Ameche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ameche Context triple: [Alan Ameche, familyName, Ameche]
-
A.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
B.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
C.
Okuta
Okuta is a town in Baruten Local Government Area of Kwara State, Nigeria, known as a border community near the Nigeria–Benin frontier.
-
D.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
E.
Akinobu
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
- 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: Ameche Triple: [Alan Ameche, familyName, Ameche]
Generated description
Ameche is an Italian-origin surname most notably associated with American football star Alan Ameche and actor Don Ameche.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ameche Target entity description: Ameche is an Italian-origin surname most notably associated with American football star Alan Ameche and actor Don Ameche.
-
A.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
B.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
C.
Okuta
Okuta is a town in Baruten Local Government Area of Kwara State, Nigeria, known as a border community near the Nigeria–Benin frontier.
-
D.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
E.
Akinobu
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281da708819082f5aefb7ad7b30b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2982f75c8190916f89da8954b5cc |
completed | May 8, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2a1faf248190ad19acd5b8b77ca7 |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 10, 2026, 1:07 a.m.