Triple
T12683524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesher |
E303006
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mandy Tagger
Mandy Tagger is a film producer known for her work on independent and character-driven movies.
|
E997242
|
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: Mandy Tagger | Statement: [Hesher, producer, Mandy Tagger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandy Tagger Context triple: [Hesher, producer, Mandy Tagger]
-
A.
Sho Madjozi
Sho Madjozi is a South African rapper, singer, and songwriter known for blending Tsonga culture with contemporary hip-hop and gqom music.
-
B.
Remy Ma
Remy Ma is an American rapper from the Bronx known for her sharp lyricism, prominent role in early-2000s hip-hop, and membership in Fat Joe’s Terror Squad.
-
C.
Timaya
Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
-
D.
Mashonda
Mashonda is an American R&B singer and songwriter known for her solo work and collaborations within the hip-hop and R&B scenes.
-
E.
Tainy
Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
- 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: Mandy Tagger Triple: [Hesher, producer, Mandy Tagger]
Generated description
Mandy Tagger is a film producer known for her work on independent and character-driven movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mandy Tagger Target entity description: Mandy Tagger is a film producer known for her work on independent and character-driven movies.
-
A.
Sho Madjozi
Sho Madjozi is a South African rapper, singer, and songwriter known for blending Tsonga culture with contemporary hip-hop and gqom music.
-
B.
Remy Ma
Remy Ma is an American rapper from the Bronx known for her sharp lyricism, prominent role in early-2000s hip-hop, and membership in Fat Joe’s Terror Squad.
-
C.
Timaya
Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
-
D.
Mashonda
Mashonda is an American R&B singer and songwriter known for her solo work and collaborations within the hip-hop and R&B scenes.
-
E.
Tainy
Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:21 p.m.