Triple
T15165643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple on Time |
E362332
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael Gibbons
Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
|
E1160353
|
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: Michael Gibbons | Statement: [Purple on Time, producer, Michael Gibbons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Gibbons Context triple: [Purple on Time, producer, Michael Gibbons]
-
A.
Michael Pryor
Michael Pryor is an American entrepreneur and software executive best known as the co-founder and longtime leader of the project management platform Trello.
-
B.
David Sullivan
David Sullivan is an American actor best known for his role in the Netflix comedy-drama series "Flaked."
-
C.
David Sullivan
David Sullivan is a British businessman and former pornography and media magnate best known as the co-owner and long-serving chairman of Premier League football club West Ham United.
-
D.
Michael Buckley
Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
-
E.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
- 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: Michael Gibbons Triple: [Purple on Time, producer, Michael Gibbons]
Generated description
Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Gibbons Target entity description: Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
-
A.
Michael Pryor
Michael Pryor is an American entrepreneur and software executive best known as the co-founder and longtime leader of the project management platform Trello.
-
B.
David Sullivan
David Sullivan is an American actor best known for his role in the Netflix comedy-drama series "Flaked."
-
C.
David Sullivan
David Sullivan is a British businessman and former pornography and media magnate best known as the co-owner and long-serving chairman of Premier League football club West Ham United.
-
D.
Michael Buckley
Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
-
E.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3649d1408190a4fed26539de1849 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff379902e48190a84c71f532140f14 |
completed | May 9, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff384962f88190964fc040a2a44aa8 |
completed | May 9, 2026, 1:36 p.m. |
Created at: April 10, 2026, 3:08 a.m.