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.