Triple
T8570688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osborne 1 |
E202917
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Adam Osborne
Adam Osborne was a British-American author, computer designer, and entrepreneur best known for creating the Osborne 1, one of the first commercially successful portable computers.
|
E744096
|
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: Adam Osborne | Statement: [Osborne 1, namedAfter, Adam Osborne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Osborne Context triple: [Osborne 1, namedAfter, Adam Osborne]
-
A.
William Osborne
William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
-
B.
Jim Osborne
Jim Osborne is an American sculptor best known for creating the iconic Screen Actors Guild (SAG) Award statuette.
-
C.
Paul Osborn
Paul Osborn was an American screenwriter and playwright known for adapting major literary works for film, including classics such as "East of Eden" and "The Yearling."
-
D.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
-
E.
Nick Osborne
Nick Osborne is a film producer best known for his work on the romantic comedy "License to Wed."
- 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: Adam Osborne Triple: [Osborne 1, namedAfter, Adam Osborne]
Generated description
Adam Osborne was a British-American author, computer designer, and entrepreneur best known for creating the Osborne 1, one of the first commercially successful portable computers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Osborne Target entity description: Adam Osborne was a British-American author, computer designer, and entrepreneur best known for creating the Osborne 1, one of the first commercially successful portable computers.
-
A.
William Osborne
William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
-
B.
Jim Osborne
Jim Osborne is an American sculptor best known for creating the iconic Screen Actors Guild (SAG) Award statuette.
-
C.
Paul Osborn
Paul Osborn was an American screenwriter and playwright known for adapting major literary works for film, including classics such as "East of Eden" and "The Yearling."
-
D.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
-
E.
Nick Osborne
Nick Osborne is a film producer best known for his work on the romantic comedy "License to Wed."
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4223888190a56d9026ae0b9ec0 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8983bd3c819094457b5160bc928d |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8ac1dba48190bbad47a762130aab |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8eae70008190b2c7bbe4ce8d4c0a |
completed | April 2, 2026, 3:43 p.m. |
Created at: March 30, 2026, 6:21 p.m.