Triple
T6730496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robot Chicken |
E153621
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Mike Fasolo
Mike Fasolo is an American television writer best known for his work on the stop-motion animated sketch comedy series "Robot Chicken."
|
E631982
|
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: Mike Fasolo | Statement: [Robot Chicken, developer, Mike Fasolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Fasolo Context triple: [Robot Chicken, developer, Mike Fasolo]
-
A.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
B.
Greg Maffei
Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
-
C.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
D.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
E.
Mike Esposito
Mike Esposito is a name shared by several notable individuals, including professionals in sports and the arts.
- 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: Mike Fasolo Triple: [Robot Chicken, developer, Mike Fasolo]
Generated description
Mike Fasolo is an American television writer best known for his work on the stop-motion animated sketch comedy series "Robot Chicken."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Fasolo Target entity description: Mike Fasolo is an American television writer best known for his work on the stop-motion animated sketch comedy series "Robot Chicken."
-
A.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
B.
Greg Maffei
Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
-
C.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
D.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
E.
Mike Esposito
Mike Esposito is a name shared by several notable individuals, including professionals in sports and the arts.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7581d4fb081908530cfd5f7bcba24 |
completed | March 28, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69c758fe82348190b8cfd6fc903df20b |
completed | March 28, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75972fc888190b8895e7ca755c848 |
completed | March 28, 2026, 4:30 a.m. |
Created at: March 27, 2026, 2:09 p.m.