Triple
T17438203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobody Knows |
E424065
|
entity |
| Predicate | hasMusicBy |
P1952
|
FINISHED |
| Object |
Gontiti
Gontiti is a Japanese acoustic guitar duo known for their mellow, jazz-influenced instrumental music often used in film and television soundtracks.
|
E1275543
|
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: Gontiti | Statement: [Nobody Knows, hasMusicBy, Gontiti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gontiti Context triple: [Nobody Knows, hasMusicBy, Gontiti]
-
A.
Gaddige
Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
-
B.
Gudia
Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
-
C.
Ghedi
Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
-
D.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
E.
Ghinghinda
Ghinghinda is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
- 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: Gontiti Triple: [Nobody Knows, hasMusicBy, Gontiti]
Generated description
Gontiti is a Japanese acoustic guitar duo known for their mellow, jazz-influenced instrumental music often used in film and television soundtracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gontiti Target entity description: Gontiti is a Japanese acoustic guitar duo known for their mellow, jazz-influenced instrumental music often used in film and television soundtracks.
-
A.
Gaddige
Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
-
B.
Gudia
Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
-
C.
Ghedi
Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
-
D.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
E.
Ghinghinda
Ghinghinda is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff584cc81908207c163f19ff972 |
completed | April 19, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d27c7b948190a6c6ea09688bd3c1 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d4436b448190bff8710eac0ce569 |
completed | May 11, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d49cb9c081908b07b87ec3b2a133 |
completed | May 11, 2026, 1:07 p.m. |
Created at: April 10, 2026, 5:46 a.m.