Triple
T8087046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota Pipers |
E188757
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Art Heyman
Art Heyman was an American basketball player best known as a star at Duke University and a key figure in the early years of the American Basketball Association.
|
E711257
|
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: Art Heyman | Statement: [Minnesota Pipers, notablePlayer, Art Heyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Heyman Context triple: [Minnesota Pipers, notablePlayer, Art Heyman]
-
A.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
B.
Guy Heeley
Guy Heeley is a British film producer known for his work on a range of feature films, including the 2019 thriller "Serenity."
-
C.
Douglas Heyes
Douglas Heyes was an American television and film writer, director, and producer known for his work on classic series such as The Twilight Zone and numerous TV movies and miniseries.
-
D.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
E.
Tim Holbrook
Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
- 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: Art Heyman Triple: [Minnesota Pipers, notablePlayer, Art Heyman]
Generated description
Art Heyman was an American basketball player best known as a star at Duke University and a key figure in the early years of the American Basketball Association.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Art Heyman Target entity description: Art Heyman was an American basketball player best known as a star at Duke University and a key figure in the early years of the American Basketball Association.
-
A.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
B.
Guy Heeley
Guy Heeley is a British film producer known for his work on a range of feature films, including the 2019 thriller "Serenity."
-
C.
Douglas Heyes
Douglas Heyes was an American television and film writer, director, and producer known for his work on classic series such as The Twilight Zone and numerous TV movies and miniseries.
-
D.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
E.
Tim Holbrook
Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4162244481908ab1202a9974deaa |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6406395c8190ad8db69c878ce9b8 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc651e3b4c81908408c9f08eca8e09 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc694d861c8190b504352c1fad2c36 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:29 p.m.