Triple
T7963535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wande Coal |
E184938
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
So Mi So
"So Mi So" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy melody and danceable rhythm.
|
E703326
|
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: So Mi So | Statement: [Wande Coal, notableSong, So Mi So]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Mi So Context triple: [Wande Coal, notableSong, So Mi So]
-
A.
Son My
Son My is a village in central Vietnam best known internationally as the site of the 1968 My Lai Massacre during the Vietnam War.
-
B.
Mo Sista
Mo Sista is a woman who supports the Movember men’s health campaign, typically by fundraising, raising awareness, and encouraging the men in her life to participate.
-
C.
Shinaki
Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
-
D.
Do Re Mi
"Do Re Mi" is a folk song by Woody Guthrie that critiques the hardships faced by Dust Bowl migrants traveling to California during the Great Depression.
-
E.
Do Re Mi
Do Re Mi is a 1960 Broadway musical comedy with music by Jule Styne and lyrics and book by the celebrated writing team of Betty Comden and Adolph Green.
- 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: So Mi So Triple: [Wande Coal, notableSong, So Mi So]
Generated description
"So Mi So" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy melody and danceable rhythm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Mi So Target entity description: "So Mi So" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy melody and danceable rhythm.
-
A.
Son My
Son My is a village in central Vietnam best known internationally as the site of the 1968 My Lai Massacre during the Vietnam War.
-
B.
Mo Sista
Mo Sista is a woman who supports the Movember men’s health campaign, typically by fundraising, raising awareness, and encouraging the men in her life to participate.
-
C.
Shinaki
Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
-
D.
Do Re Mi
"Do Re Mi" is a folk song by Woody Guthrie that critiques the hardships faced by Dust Bowl migrants traveling to California during the Great Depression.
-
E.
Do Re Mi
Do Re Mi is a 1960 Broadway musical comedy with music by Jule Styne and lyrics and book by the celebrated writing team of Betty Comden and Adolph Green.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43b20148190ba9a4dd00a9f5862 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3307ebd481908c1ec4b0be270a77 |
completed | March 31, 2026, 8:48 p.m. |
Created at: March 30, 2026, 5:12 p.m.