Triple
T21845878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Sweatshirt |
E539371
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Mavi
Mavi is an American rapper known for his introspective, lyrically dense style and collaborations within the underground hip-hop scene.
|
E1505073
|
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: Mavi | Statement: [Earl Sweatshirt, associatedAct, Mavi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mavi Context triple: [Earl Sweatshirt, associatedAct, Mavi]
-
A.
Mavi
Mavi is a character in Anne McCaffrey’s Dragonriders of Pern series, known as the practical and often critical mother of the harper and dragonrider Menolly.
-
B.
L’Azur
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
-
C.
Marien
Marien is a given name most notably borne by Marien Ngouabi, the former president of the Republic of the Congo.
-
D.
Mazarine
Mazarine is a French writer, academic, and media figure best known as the once-secret daughter of former French President François Mitterrand.
-
E.
Modra
Modra is a historic Slovak town in the foothills of the Little Carpathians, renowned for its wine production and traditional ceramics.
- 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: Mavi Triple: [Earl Sweatshirt, associatedAct, Mavi]
Generated description
Mavi is an American rapper known for his introspective, lyrically dense style and collaborations within the underground hip-hop scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mavi Target entity description: Mavi is an American rapper known for his introspective, lyrically dense style and collaborations within the underground hip-hop scene.
-
A.
Mavi
Mavi is a character in Anne McCaffrey’s Dragonriders of Pern series, known as the practical and often critical mother of the harper and dragonrider Menolly.
-
B.
L’Azur
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
-
C.
Marien
Marien is a given name most notably borne by Marien Ngouabi, the former president of the Republic of the Congo.
-
D.
Mazarine
Mazarine is a French writer, academic, and media figure best known as the once-secret daughter of former French President François Mitterrand.
-
E.
Modra
Modra is a historic Slovak town in the foothills of the Little Carpathians, renowned for its wine production and traditional ceramics.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd546fb48190a7b815233650c2e7 |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bcabfdc819083ffb78747a50a82 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4ceefdd88190aa3790bfd9df882b |
completed | May 17, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4da50c988190a41a4fcb83ae02a6 |
completed | May 17, 2026, 11:22 p.m. |
Created at: April 16, 2026, 6:55 p.m.