Triple
T3113674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Platnumz |
E65006
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Dylan
Dylan is one of the children of Tanzanian Bongo Flava star and music entrepreneur Diamond Platnumz.
|
E327786
|
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: Dylan | Statement: [Diamond Platnumz, hasChild, Dylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Context triple: [Diamond Platnumz, hasChild, Dylan]
-
A.
Sir Dylan
Sir Dylan is a music producer best known for his work on Miguel’s album "War & Leisure."
-
B.
Jakob Dylan
Jakob Dylan is an American singer-songwriter and the lead vocalist and primary songwriter for the rock band The Wallflowers.
-
C.
Bob Dylan
Bob Dylan is an influential American singer-songwriter and cultural icon whose poetic lyrics and groundbreaking work in popular music earned him the Nobel Prize in Literature.
-
D.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
-
E.
Sara Dylan
Sara Dylan is an American former actress and model best known as the ex-wife and muse of singer-songwriter Bob Dylan, inspiring several of his notable songs in the 1960s and 1970s.
- 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: Dylan Triple: [Diamond Platnumz, hasChild, Dylan]
Generated description
Dylan is one of the children of Tanzanian Bongo Flava star and music entrepreneur Diamond Platnumz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dylan Target entity description: Dylan is one of the children of Tanzanian Bongo Flava star and music entrepreneur Diamond Platnumz.
-
A.
Sir Dylan
Sir Dylan is a music producer best known for his work on Miguel’s album "War & Leisure."
-
B.
Jakob Dylan
Jakob Dylan is an American singer-songwriter and the lead vocalist and primary songwriter for the rock band The Wallflowers.
-
C.
Bob Dylan
Bob Dylan is an influential American singer-songwriter and cultural icon whose poetic lyrics and groundbreaking work in popular music earned him the Nobel Prize in Literature.
-
D.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
-
E.
Sara Dylan
Sara Dylan is an American former actress and model best known as the ex-wife and muse of singer-songwriter Bob Dylan, inspiring several of his notable songs in the 1960s and 1970s.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.