Triple
T21012625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Electric Company |
E517587
|
entity |
| Predicate | featuredPerformer |
P17435
|
FINISHED |
| Object |
Luis Ávalos
Luis Ávalos was a Cuban-American actor and comedian best known for his work on children's television and numerous film and TV roles throughout the 1970s and 1980s.
|
E1555519
|
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: Luis Ávalos | Statement: [The Electric Company, featuredPerformer, Luis Ávalos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Ávalos Context triple: [The Electric Company, featuredPerformer, Luis Ávalos]
-
A.
Héctor Vivanco
Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
-
B.
Luis Maldonado
Luis Maldonado is a musician best known as a member of the alternative rock band The Kelley Deal 6000.
-
C.
Federico Landeros
Federico Landeros is a film editor best known for his work on Alejandro Jodorowsky’s influential avant-garde Western "El Topo."
-
D.
Luis Medina
Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
-
E.
Luis Gatica
Luis Gatica is a Mexican actor known for his roles in numerous telenovelas and television series.
- 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: Luis Ávalos Triple: [The Electric Company, featuredPerformer, Luis Ávalos]
Generated description
Luis Ávalos was a Cuban-American actor and comedian best known for his work on children's television and numerous film and TV roles throughout the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Ávalos Target entity description: Luis Ávalos was a Cuban-American actor and comedian best known for his work on children's television and numerous film and TV roles throughout the 1970s and 1980s.
-
A.
Héctor Vivanco
Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
-
B.
Luis Maldonado
Luis Maldonado is a musician best known as a member of the alternative rock band The Kelley Deal 6000.
-
C.
Federico Landeros
Federico Landeros is a film editor best known for his work on Alejandro Jodorowsky’s influential avant-garde Western "El Topo."
-
D.
Luis Medina
Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
-
E.
Luis Gatica
Luis Gatica is a Mexican actor known for his roles in numerous telenovelas and television series.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc40f91c81908c9b6d99869de7aa |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e7867d08190a2d6d1a61a1a745d |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba0f5030c81909efd76deb3e6017d |
completed | May 18, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba1b94c8081909cbd256997af1dca |
completed | May 18, 2026, 11:33 p.m. |
Created at: April 16, 2026, 1:53 p.m.