Triple
T11937306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grown Backwards |
E284077
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Patrick Dillett
Patrick Dillett is a Grammy-winning American record producer and engineer known for his work with a wide range of artists across indie, pop, and experimental music.
|
E959188
|
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: Patrick Dillett | Statement: [Grown Backwards, producer, Patrick Dillett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Dillett Context triple: [Grown Backwards, producer, Patrick Dillett]
-
A.
Patrick Lyster
Patrick Lyster is a South African actor known for his roles in film and television, including a supporting part in the apartheid-era drama "Goodbye Bafana."
-
B.
Jack O'Shea
Jack O'Shea is an actor known for his role in the film "Hellgate."
-
C.
Peter Loughran
Peter Loughran is a British musician and hairstylist best known for his former marriage to actress Lena Headey.
-
D.
Patrick Grady
Patrick Grady is the son of the late British comedian and television presenter Paul O’Grady.
-
E.
Paul McGinness
Paul McGinness was an Australian aviator and World War I flying ace best known as one of the co-founders of Qantas Airways.
- 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: Patrick Dillett Triple: [Grown Backwards, producer, Patrick Dillett]
Generated description
Patrick Dillett is a Grammy-winning American record producer and engineer known for his work with a wide range of artists across indie, pop, and experimental music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Dillett Target entity description: Patrick Dillett is a Grammy-winning American record producer and engineer known for his work with a wide range of artists across indie, pop, and experimental music.
-
A.
Patrick Lyster
Patrick Lyster is a South African actor known for his roles in film and television, including a supporting part in the apartheid-era drama "Goodbye Bafana."
-
B.
Jack O'Shea
Jack O'Shea is an actor known for his role in the film "Hellgate."
-
C.
Peter Loughran
Peter Loughran is a British musician and hairstylist best known for his former marriage to actress Lena Headey.
-
D.
Patrick Grady
Patrick Grady is the son of the late British comedian and television presenter Paul O’Grady.
-
E.
Paul McGinness
Paul McGinness was an Australian aviator and World War I flying ace best known as one of the co-founders of Qantas Airways.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903094218819092e11b273d87de65 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a729de88190960be2d16487a620 |
completed | May 1, 2026, 11:11 a.m. |
| NEDg | Description generation | batch_69f48df7790c8190a8e79466f032e86d |
completed | May 1, 2026, 11:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f490dfe4e4819092d7494ba9b807db |
completed | May 1, 2026, 11:39 a.m. |
Created at: April 8, 2026, 9:45 p.m.