Triple
T2272868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Witt |
E50699
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bryan DeWitt
Bryan DeWitt is a person notable enough to be recognized as a bearer of the De Witt surname.
|
E338462
|
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: Bryan DeWitt | Statement: [De Witt, hasNotableBearer, Bryan DeWitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan DeWitt Context triple: [De Witt, hasNotableBearer, Bryan DeWitt]
-
A.
Robert De Witt
Robert De Witt is a person notable enough to be recognized as a namesake of the surname De Witt.
-
B.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
C.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
D.
John Boettiger
John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
-
E.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
- 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: Bryan DeWitt Triple: [De Witt, hasNotableBearer, Bryan DeWitt]
Generated description
Bryan DeWitt is a person notable enough to be recognized as a bearer of the De Witt surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bryan DeWitt Target entity description: Bryan DeWitt is a person notable enough to be recognized as a bearer of the De Witt surname.
-
A.
Robert De Witt
Robert De Witt is a person notable enough to be recognized as a namesake of the surname De Witt.
-
B.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
C.
Jeffrey Paley
Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
-
D.
John Boettiger
John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
-
E.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1e872448190a1d6c6071b2a294b |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261af6c488190906432e93424c9d1 |
completed | March 12, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_69b264c2b3e88190bdfb33f12c318c70 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2689419808190adb9b69bf3185daf |
completed | March 12, 2026, 7:17 a.m. |
Created at: March 4, 2026, 7:48 p.m.