Triple
T3042217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowen |
E83155
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Howard Bowen
Howard Bowen was an American economist and university administrator best known for pioneering the concept of corporate social responsibility in modern business ethics.
|
E324260
|
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: Howard Bowen | Statement: [Bowen, hasNotableBearer, Howard Bowen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Bowen Context triple: [Bowen, hasNotableBearer, Howard Bowen]
-
A.
Roger Bowen
Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
-
B.
Stephen Bowen
Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
-
C.
John Boles
John Boles was an American actor and singer best known for his leading-man roles in early sound-era Hollywood films.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
John Bunn
John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
- 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: Howard Bowen Triple: [Bowen, hasNotableBearer, Howard Bowen]
Generated description
Howard Bowen was an American economist and university administrator best known for pioneering the concept of corporate social responsibility in modern business ethics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard Bowen Target entity description: Howard Bowen was an American economist and university administrator best known for pioneering the concept of corporate social responsibility in modern business ethics.
-
A.
Roger Bowen
Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
-
B.
Stephen Bowen
Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
-
C.
John Boles
John Boles was an American actor and singer best known for his leading-man roles in early sound-era Hollywood films.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
John Bunn
John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f86cfcac81908122f1afd79ce29a |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f8d3ff288190bd79bfc99d06c3ca |
completed | March 11, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f94b3e3c8190b8ce0531a7c54902 |
completed | March 11, 2026, 11:22 p.m. |
Created at: March 8, 2026, 3:01 p.m.