Triple
T11307351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Pill Blues |
E267749
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Phil Shaouy
Phil Shaouy is a music producer best known for his work on Maroon 5’s album "Red Pill Blues."
|
E917148
|
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: Phil Shaouy | Statement: [Red Pill Blues, producer, Phil Shaouy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Shaouy Context triple: [Red Pill Blues, producer, Phil Shaouy]
-
A.
Phil DeGuere
Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
-
B.
Phil Schiliro
Phil Schiliro is an American political advisor and former White House legislative affairs director known for his work on major policy initiatives during the Obama administration.
-
C.
Ward Poulos
Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
-
D.
John Sharian
John Sharian is an American actor and director best known for his role as Ivan in the psychological thriller film "The Machinist."
-
E.
Phil Falco
Phil Falco is an artist and illustrator known for creating cover artwork, including the cover for Tyra Banks’s novel "Modelland."
- 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: Phil Shaouy Triple: [Red Pill Blues, producer, Phil Shaouy]
Generated description
Phil Shaouy is a music producer best known for his work on Maroon 5’s album "Red Pill Blues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Shaouy Target entity description: Phil Shaouy is a music producer best known for his work on Maroon 5’s album "Red Pill Blues."
-
A.
Phil DeGuere
Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
-
B.
Phil Schiliro
Phil Schiliro is an American political advisor and former White House legislative affairs director known for his work on major policy initiatives during the Obama administration.
-
C.
Ward Poulos
Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
-
D.
John Sharian
John Sharian is an American actor and director best known for his role as Ivan in the psychological thriller film "The Machinist."
-
E.
Phil Falco
Phil Falco is an artist and illustrator known for creating cover artwork, including the cover for Tyra Banks’s novel "Modelland."
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510fb1e288190a7a38fe896d7b91d |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.