Triple
T8570747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MITS Altair 8800 |
E202918
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Jim Bybee
Jim Bybee is a computer engineer known for his role in developing the pioneering MITS Altair 8800 microcomputer.
|
E744101
|
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: Jim Bybee | Statement: [MITS Altair 8800, developer, Jim Bybee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Bybee Context triple: [MITS Altair 8800, developer, Jim Bybee]
-
A.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
B.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
-
C.
Gary Beban
Gary Beban is a former American college football quarterback best known for winning the 1967 Heisman Trophy while starring at UCLA.
-
D.
Brian Dutcher
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
-
E.
Tad Horvath
Tad Horvath is a fictional character from the television series "Girls," known as the somewhat conservative and later openly gay father of the main character, Hannah Horvath.
- 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: Jim Bybee Triple: [MITS Altair 8800, developer, Jim Bybee]
Generated description
Jim Bybee is a computer engineer known for his role in developing the pioneering MITS Altair 8800 microcomputer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Bybee Target entity description: Jim Bybee is a computer engineer known for his role in developing the pioneering MITS Altair 8800 microcomputer.
-
A.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
B.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
-
C.
Gary Beban
Gary Beban is a former American college football quarterback best known for winning the 1967 Heisman Trophy while starring at UCLA.
-
D.
Brian Dutcher
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
-
E.
Tad Horvath
Tad Horvath is a fictional character from the television series "Girls," known as the somewhat conservative and later openly gay father of the main character, Hannah Horvath.
- 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.