Triple
T5920191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoxomoxoa |
E131680
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bob Matthews
Bob Matthews is an audio engineer and producer best known for his work with the Grateful Dead, including co-producing their 1969 album "Aoxomoxoa."
|
E556242
|
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 Matthews | Statement: [Aoxomoxoa, producer, Bob Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Matthews Context triple: [Aoxomoxoa, producer, Bob Matthews]
-
A.
Nick Foligno
Nick Foligno is a veteran American-Canadian NHL forward known for his leadership, physical play, and long tenure as captain of the Columbus Blue Jackets.
-
B.
Grant Fuhr
Grant Fuhr is a Hall of Fame Canadian goaltender renowned for backstopping the Edmonton Oilers dynasty to multiple Stanley Cup championships in the 1980s.
-
C.
Bob Gainey
Bob Gainey is a former Canadian professional ice hockey player and coach renowned for his exceptional defensive play and leadership with the Montreal Canadiens.
-
D.
Jim Norris
Jim Norris is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
-
E.
Fred Clark
Fred Clark was an American character actor known for his sharp-tongued, often exasperated roles in classic mid-20th-century films and television.
- 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 Matthews Triple: [Aoxomoxoa, producer, Bob Matthews]
Generated description
Bob Matthews is an audio engineer and producer best known for his work with the Grateful Dead, including co-producing their 1969 album "Aoxomoxoa."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Matthews Target entity description: Bob Matthews is an audio engineer and producer best known for his work with the Grateful Dead, including co-producing their 1969 album "Aoxomoxoa."
-
A.
Nick Foligno
Nick Foligno is a veteran American-Canadian NHL forward known for his leadership, physical play, and long tenure as captain of the Columbus Blue Jackets.
-
B.
Grant Fuhr
Grant Fuhr is a Hall of Fame Canadian goaltender renowned for backstopping the Edmonton Oilers dynasty to multiple Stanley Cup championships in the 1980s.
-
C.
Bob Gainey
Bob Gainey is a former Canadian professional ice hockey player and coach renowned for his exceptional defensive play and leadership with the Montreal Canadiens.
-
D.
Jim Norris
Jim Norris is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
-
E.
Fred Clark
Fred Clark was an American character actor known for his sharp-tongued, often exasperated roles in classic mid-20th-century films and television.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038019ea081908e652d74ff23f076 |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c2513aa88190866a59e0b75ef93f |
completed | March 23, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c31cd8808190b2f5c7c83f2e4c72 |
completed | March 23, 2026, 4:35 a.m. |
Created at: March 22, 2026, 4 p.m.