Triple
T10701403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Basketball League |
E252284
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Steve Hams
Steve Hams is an American sports executive best known as the founder of the American Basketball League.
|
E881883
|
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: Steve Hams | Statement: [American Basketball League, foundedBy, Steve Hams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Hams Context triple: [American Basketball League, foundedBy, Steve Hams]
-
A.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
B.
Kevin Hearn
Kevin Hearn is a Canadian musician and multi-instrumentalist best known as the longtime keyboardist and guitarist for the band Barenaked Ladies.
-
C.
Tim Hackett
Tim Hackett is a person notable enough to be specifically cited as a bearer of the surname Hackett, though detailed public information about him is limited.
-
D.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
E.
Mark Stevens
Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
- 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: Steve Hams Triple: [American Basketball League, foundedBy, Steve Hams]
Generated description
Steve Hams is an American sports executive best known as the founder of the American Basketball League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Hams Target entity description: Steve Hams is an American sports executive best known as the founder of the American Basketball League.
-
A.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
B.
Kevin Hearn
Kevin Hearn is a Canadian musician and multi-instrumentalist best known as the longtime keyboardist and guitarist for the band Barenaked Ladies.
-
C.
Tim Hackett
Tim Hackett is a person notable enough to be specifically cited as a bearer of the surname Hackett, though detailed public information about him is limited.
-
D.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
E.
Mark Stevens
Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8c835c8190bf1a67ee94195926 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb703b1ec8190b11fbb381c929a90 |
completed | April 12, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69dbbbe3d9dc819088f85d41ef66ab29 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc58a5ef481908e67fff6686fb506 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:12 p.m.