Triple
T31133983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naoshi Arakawa |
E793586
|
entity |
| Predicate | Farewell, My Dear Cramer |
P171188
|
FINISHED |
| Object | is a soccer-themed manga |
—
|
LITERAL FINISHED |
How this triple was built (2 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: is a soccer-themed manga | Statement: [Naoshi Arakawa, Farewell, My Dear Cramer, is a soccer-themed manga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Farewell, My Dear Cramer Context triple: [Naoshi Arakawa, Farewell, My Dear Cramer, is a soccer-themed manga]
-
A.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
-
B.
I Am Not Ashamed
Indicates that the subject openly acknowledges or identifies with something or someone without feeling embarrassment, guilt, or social discomfort about it.
-
C.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
D.
The Long Road Home
Indicates a prolonged or challenging journey back to one’s place of origin, belonging, or emotional center.
-
E.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
- F. None of above. chosen
Provenance (4 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:05 p.m.