Triple
T2159783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuff It |
E47973
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
|
E339088
|
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: Rafael Pineda | Statement: [Cuff It, writer, Rafael Pineda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael Pineda Context triple: [Cuff It, writer, Rafael Pineda]
-
A.
Rodrigo Prieto
Rodrigo Prieto is a renowned Mexican cinematographer known for his visually distinctive work on major films by directors such as Martin Scorsese and Alejandro G. Iñárritu.
-
B.
Ronald Cerritos
Ronald Cerritos is a retired Salvadoran forward best known for his prolific goal-scoring and playmaking in Major League Soccer, particularly with the San Jose Earthquakes.
-
C.
Luis Hernández
Luis Hernández is a retired Mexican striker renowned for his prolific goal-scoring for the Mexico national team and clubs in Mexico and abroad, including a notable stint in Major League Soccer.
-
D.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
E.
Enrique Arce
Enrique Arce is a Spanish actor best known internationally for his role as the unscrupulous Arturo Román in the hit series "Money Heist."
- 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: Rafael Pineda Triple: [Cuff It, writer, Rafael Pineda]
Generated description
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rafael Pineda Target entity description: Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
-
A.
Rodrigo Prieto
Rodrigo Prieto is a renowned Mexican cinematographer known for his visually distinctive work on major films by directors such as Martin Scorsese and Alejandro G. Iñárritu.
-
B.
Ronald Cerritos
Ronald Cerritos is a retired Salvadoran forward best known for his prolific goal-scoring and playmaking in Major League Soccer, particularly with the San Jose Earthquakes.
-
C.
Luis Hernández
Luis Hernández is a retired Mexican striker renowned for his prolific goal-scoring for the Mexico national team and clubs in Mexico and abroad, including a notable stint in Major League Soccer.
-
D.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
E.
Enrique Arce
Enrique Arce is a Spanish actor best known internationally for his role as the unscrupulous Arturo Román in the hit series "Money Heist."
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8894d481908eda9363fd36fea6 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276a3cfa48190b0ecee43d24046e6 |
completed | March 12, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b2778f5d848190b5ae405f3e777992 |
completed | March 12, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27879ff6081909f7d7f474d46ac4b |
completed | March 12, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:45 p.m.