Triple
T6598535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studebaker Avanti |
E148537
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Bob Andrews
Bob Andrews is an automotive designer best known for his work on the iconic Studebaker Avanti.
|
E607201
|
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: Bob Andrews | Statement: [Studebaker Avanti, designer, Bob Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Andrews Context triple: [Studebaker Avanti, designer, Bob Andrews]
-
A.
Bill Dellinger
Bill Dellinger is a former American middle-distance runner and longtime University of Oregon coach renowned for mentoring legendary athletes such as Steve Prefontaine.
-
B.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
C.
Hartland Snyder
Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
-
D.
William D. Ford
William D. Ford was a long-serving U.S. Congressman from Michigan known for his work on education, labor rights, and student financial aid legislation.
-
E.
Jim Kripps
Jim Kripps is a fictional character appearing in the work titled "The Silence."
- 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: Bob Andrews Triple: [Studebaker Avanti, designer, Bob Andrews]
Generated description
Bob Andrews is an automotive designer best known for his work on the iconic Studebaker Avanti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Andrews Target entity description: Bob Andrews is an automotive designer best known for his work on the iconic Studebaker Avanti.
-
A.
Bill Dellinger
Bill Dellinger is a former American middle-distance runner and longtime University of Oregon coach renowned for mentoring legendary athletes such as Steve Prefontaine.
-
B.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
C.
Hartland Snyder
Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
-
D.
William D. Ford
William D. Ford was a long-serving U.S. Congressman from Michigan known for his work on education, labor rights, and student financial aid legislation.
-
E.
Jim Kripps
Jim Kripps is a fictional character appearing in the work titled "The Silence."
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeeffdf0819090af7bba918bef84 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43224dc81909dea493a5ee2726e |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.