Triple
T1043904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Out of Mind |
E22531
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mark Howard
Mark Howard is a renowned Canadian record producer and engineer known for his atmospheric, roots-oriented work with artists such as Bob Dylan, Tom Waits, and Lucinda Williams.
|
E124297
|
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: Mark Howard | Statement: [Time Out of Mind, producer, Mark Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Howard Context triple: [Time Out of Mind, producer, Mark Howard]
-
A.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
B.
Mike Hunt
Mike Hunt is a name best known as a long-running prank or joke name in English-speaking popular culture due to its phonetic resemblance to a vulgar phrase.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Steve Owen
Steve Owen was a legendary NFL head coach best known for leading the New York Giants for nearly a quarter century and pioneering modern defensive strategies.
-
E.
David Simas
David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
- 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: Mark Howard Triple: [Time Out of Mind, producer, Mark Howard]
Generated description
Mark Howard is a renowned Canadian record producer and engineer known for his atmospheric, roots-oriented work with artists such as Bob Dylan, Tom Waits, and Lucinda Williams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Howard Target entity description: Mark Howard is a renowned Canadian record producer and engineer known for his atmospheric, roots-oriented work with artists such as Bob Dylan, Tom Waits, and Lucinda Williams.
-
A.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
B.
Mike Hunt
Mike Hunt is a name best known as a long-running prank or joke name in English-speaking popular culture due to its phonetic resemblance to a vulgar phrase.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Steve Owen
Steve Owen was a legendary NFL head coach best known for leading the New York Giants for nearly a quarter century and pioneering modern defensive strategies.
-
E.
David Simas
David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429ad45481908641fcaf72f7d1b9 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac4365965881909ff2cdf8eda07f91 |
completed | March 7, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43d1cd1c8190852f8811703ebd5f |
completed | March 7, 2026, 3:27 p.m. |
Created at: March 1, 2026, 7:42 p.m.