Triple
T10714936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maluma |
E252637
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
El Perdedor
"El Perdedor" is a popular Latin pop/reggaeton song by Colombian singer Maluma that significantly boosted his international recognition.
|
E881130
|
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: El Perdedor | Statement: [Maluma, notableWork, El Perdedor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Perdedor Context triple: [Maluma, notableWork, El Perdedor]
-
A.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
B.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
-
C.
Gone
"Gone" is a punk rock song by The Bouncing Souls, known for its melodic hooks and emotionally charged lyrics about loss and moving on.
-
D.
Gone
"Gone" is a popular R&B-influenced ballad by American boy band *NSYNC, known for its emotional lyrics and Justin Timberlake's prominent lead vocals.
-
E.
Gone
"Gone" is a U2 song from their 1997 album "Pop," known for its introspective lyrics and powerful live performances.
- 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: El Perdedor Triple: [Maluma, notableWork, El Perdedor]
Generated description
"El Perdedor" is a popular Latin pop/reggaeton song by Colombian singer Maluma that significantly boosted his international recognition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Perdedor Target entity description: "El Perdedor" is a popular Latin pop/reggaeton song by Colombian singer Maluma that significantly boosted his international recognition.
-
A.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
B.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
-
C.
Gone
"Gone" is a punk rock song by The Bouncing Souls, known for its melodic hooks and emotionally charged lyrics about loss and moving on.
-
D.
Gone
"Gone" is a popular R&B-influenced ballad by American boy band *NSYNC, known for its emotional lyrics and Justin Timberlake's prominent lead vocals.
-
E.
Gone
"Gone" is a U2 song from their 1997 album "Pop," known for its introspective lyrics and powerful live performances.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff324d1881908b7cdf4ac208125f |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9991f650881908d8db6e44b2c4543 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.