Triple
T12850683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sándor |
E307307
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Sanyó
Sanyó is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
|
E1006765
|
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: Sanyó | Statement: [Sándor, hasDiminutive, Sanyó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanyó Context triple: [Sándor, hasDiminutive, Sanyó]
-
A.
Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
-
B.
Shinkyō
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
E.
Suruga Kanbaru
Suruga Kanbaru is a spirited, athletic high school girl and former basketball star from the Monogatari Series, known for her monkey’s paw curse, rapid-fire speech, and open admiration for her senior Hitagi Senjougahara.
- 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: Sanyó Triple: [Sándor, hasDiminutive, Sanyó]
Generated description
Sanyó is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanyó Target entity description: Sanyó is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
-
A.
Shōnan
Shōnan is a coastal region in Kanagawa Prefecture, Japan, known for its beaches, surf culture, and views of Enoshima and Mount Fuji.
-
B.
Shinkyō
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Settsu
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
E.
Suruga Kanbaru
Suruga Kanbaru is a spirited, athletic high school girl and former basketball star from the Monogatari Series, known for her monkey’s paw curse, rapid-fire speech, and open admiration for her senior Hitagi Senjougahara.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97020eacc81909357b3398d17dc49 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba5059c81908be3b8b371518f41 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:36 p.m.