Triple
T20410080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Train |
E500565
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object |
Hector Maldonado
Hector Maldonado is an American musician best known as a former bassist and backing vocalist for the pop-rock band Train.
|
E1465693
|
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: Hector Maldonado | Statement: [Train, hasFormerMember, Hector Maldonado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hector Maldonado Context triple: [Train, hasFormerMember, Hector Maldonado]
-
A.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
B.
Hector Lopez
Hector Lopez is a fictional character portrayed by actor Jorge Garcia, best known for his comedic and affable roles on television.
-
C.
Héctor Vivanco
Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
-
D.
Leonardo Márquez
Leonardo Márquez was a Mexican conservative general notorious for his brutal tactics and prominent role in mid-19th-century civil conflicts, including the War of the Reform.
-
E.
Juano Hernandez
Juano Hernandez was a pioneering Afro-Puerto Rican actor known for his powerful performances in mid-20th-century American cinema and for breaking racial barriers in Hollywood.
- 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: Hector Maldonado Triple: [Train, hasFormerMember, Hector Maldonado]
Generated description
Hector Maldonado is an American musician best known as a former bassist and backing vocalist for the pop-rock band Train.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hector Maldonado Target entity description: Hector Maldonado is an American musician best known as a former bassist and backing vocalist for the pop-rock band Train.
-
A.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
B.
Hector Lopez
Hector Lopez is a fictional character portrayed by actor Jorge Garcia, best known for his comedic and affable roles on television.
-
C.
Héctor Vivanco
Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
-
D.
Leonardo Márquez
Leonardo Márquez was a Mexican conservative general notorious for his brutal tactics and prominent role in mid-19th-century civil conflicts, including the War of the Reform.
-
E.
Juano Hernandez
Juano Hernandez was a pioneering Afro-Puerto Rican actor known for his powerful performances in mid-20th-century American cinema and for breaking racial barriers in Hollywood.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a3e3f448190b06f8d189fb7dfc5 |
completed | May 17, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a095ab1e4e08190ac86e53ccee269f3 |
completed | May 17, 2026, 6:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095b71e4c08190a41566557503b9a8 |
completed | May 17, 2026, 6:08 a.m. |
Created at: April 16, 2026, 11:29 a.m.