Triple
T21935342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object |
Yannc
Yannc is a music producer known for working on the Latin trap and reggaeton album "Real Hasta la Muerte."
|
E1509302
|
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: Yannc | Statement: [Real Hasta la Muerte, hasProducer, Yannc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yannc Context triple: [Real Hasta la Muerte, hasProducer, Yannc]
-
A.
Yann
Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
-
B.
Yvan
Yvan is a masculine given name of French origin, borne by several notable figures including French-Israeli actor and director Yvan Attal.
-
C.
Yannick
Yannick is a masculine given name of Breton origin, commonly used in French-speaking regions and borne by figures such as conductor Yannick Nézet-Séguin.
-
D.
Yannicko
Yannicko is a given name or nickname closely related to the name Yannick, often used as a personal or online alias.
-
E.
Yves
Yves is a masculine given name of French origin commonly used in Francophone countries.
- 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: Yannc Triple: [Real Hasta la Muerte, hasProducer, Yannc]
Generated description
Yannc is a music producer known for working on the Latin trap and reggaeton album "Real Hasta la Muerte."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yannc Target entity description: Yannc is a music producer known for working on the Latin trap and reggaeton album "Real Hasta la Muerte."
-
A.
Yann
Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
-
B.
Yvan
Yvan is a masculine given name of French origin, borne by several notable figures including French-Israeli actor and director Yvan Attal.
-
C.
Yannick
Yannick is a masculine given name of Breton origin, commonly used in French-speaking regions and borne by figures such as conductor Yannick Nézet-Séguin.
-
D.
Yannicko
Yannicko is a given name or nickname closely related to the name Yannick, often used as a personal or online alias.
-
E.
Yves
Yves is a masculine given name of French origin commonly used in Francophone countries.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124048fe48190987340d5a6945176 |
completed | April 28, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60e8668c8190822cb376e2633213 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a619fa5048190a78af846d4576c46 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a62097c2c8190a223c257b4bbc28e |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:52 p.m.