Triple
T10287094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Chasen |
E241256
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chasen
Chasen is a surname of English origin borne by various individuals and fictional characters.
|
E852168
|
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: Chasen | Statement: [Mrs. Chasen, familyName, Chasen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chasen Context triple: [Mrs. Chasen, familyName, Chasen]
-
A.
Tetsuharu
Tetsuharu is a Japanese given name most famously associated with Tetsuharu Kawakami, a legendary professional baseball player and manager in Japan.
-
B.
Shohei
Shohei is a Japanese given name most prominently associated with baseball star Shohei Ohtani.
-
C.
Daisuke
Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
-
D.
Yusei Kikuchi
Yusei Kikuchi is a Japanese professional baseball pitcher who has played in both Nippon Professional Baseball and Major League Baseball, known for his left-handed delivery and tenure with teams like the Seattle Mariners and Toronto Blue Jays.
-
E.
Chaz
Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
- 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: Chasen Triple: [Mrs. Chasen, familyName, Chasen]
Generated description
Chasen is a surname of English origin borne by various individuals and fictional characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chasen Target entity description: Chasen is a surname of English origin borne by various individuals and fictional characters.
-
A.
Tetsuharu
Tetsuharu is a Japanese given name most famously associated with Tetsuharu Kawakami, a legendary professional baseball player and manager in Japan.
-
B.
Shohei
Shohei is a Japanese given name most prominently associated with baseball star Shohei Ohtani.
-
C.
Daisuke
Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
-
D.
Yusei Kikuchi
Yusei Kikuchi is a Japanese professional baseball pitcher who has played in both Nippon Professional Baseball and Major League Baseball, known for his left-handed delivery and tenure with teams like the Seattle Mariners and Toronto Blue Jays.
-
E.
Chaz
Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b924908190879a7b6b70e0109a |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f84d432c8190a7d33e6c9f8ba8f2 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcaee26c8190a19f7d07a63531f6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd879ab88190b0a47295f5d7ad4d |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:40 a.m.