Triple
T15970964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Dodger Stadium |
E387320
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sammy Blanco
Sammy Blanco is a musician best known as a member of the electronic music project DJ Dodger Stadium.
|
E1186322
|
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: Sammy Blanco | Statement: [DJ Dodger Stadium, hasMember, Sammy Blanco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammy Blanco Context triple: [DJ Dodger Stadium, hasMember, Sammy Blanco]
-
A.
Franky Perez
Franky Perez is an American rock singer and guitarist known for his solo work and collaborations with various hard rock and metal bands.
-
B.
Rafael Montoya
Rafael Montoya is a personal name shared by multiple individuals, most commonly associated with Spanish-speaking regions and used by figures in fields such as sports, politics, or the arts.
-
C.
Mickey Rivera
Mickey Rivera is a notable graduate of Westminster Christian School recognized for his achievements after attending the Miami-based private Christian institution.
-
D.
Rafael Banquells
Rafael Banquells was a Cuban-born Mexican actor and director known for his work in classic Mexican cinema and television.
-
E.
Danny Hernandez
Danny Hernandez is a technology entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
- 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: Sammy Blanco Triple: [DJ Dodger Stadium, hasMember, Sammy Blanco]
Generated description
Sammy Blanco is a musician best known as a member of the electronic music project DJ Dodger Stadium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sammy Blanco Target entity description: Sammy Blanco is a musician best known as a member of the electronic music project DJ Dodger Stadium.
-
A.
Franky Perez
Franky Perez is an American rock singer and guitarist known for his solo work and collaborations with various hard rock and metal bands.
-
B.
Rafael Montoya
Rafael Montoya is a personal name shared by multiple individuals, most commonly associated with Spanish-speaking regions and used by figures in fields such as sports, politics, or the arts.
-
C.
Mickey Rivera
Mickey Rivera is a notable graduate of Westminster Christian School recognized for his achievements after attending the Miami-based private Christian institution.
-
D.
Rafael Banquells
Rafael Banquells was a Cuban-born Mexican actor and director known for his work in classic Mexican cinema and television.
-
E.
Danny Hernandez
Danny Hernandez is a technology entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157291214819088d65e984609e42c |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.