Triple

T6019951
Position Surface form Disambiguated ID Type / Status
Subject Orem E134038 entity
Predicate namedAfter P63 FINISHED
Object Walter C. Orem
Walter C. Orem was a railroad executive after whom the town of Orem, Utah, was named.
E612393 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: Walter C. Orem | Statement: [Orem, namedAfter, Walter C. Orem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter C. Orem
Context triple: [Orem, namedAfter, Walter C. Orem]
  • A. Robert G. Bratcher
    Robert G. Bratcher was an American Bible scholar and translator best known as the principal translator of the Good News Bible (Today’s English Version).
  • B. Robert N. Davoren
    Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
  • C. Edward M. Kern
    Edward M. Kern was a 19th-century American topographer and explorer after whom California’s Kern County was named.
  • D. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • E. Arthur C. Wahl
    Arthur C. Wahl was an American chemist best known as one of the co-discoverers of the element plutonium and a key contributor to early nuclear chemistry research.
  • 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: Walter C. Orem
Triple: [Orem, namedAfter, Walter C. Orem]
Generated description
Walter C. Orem was a railroad executive after whom the town of Orem, Utah, was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walter C. Orem
Target entity description: Walter C. Orem was a railroad executive after whom the town of Orem, Utah, was named.
  • A. Robert G. Bratcher
    Robert G. Bratcher was an American Bible scholar and translator best known as the principal translator of the Good News Bible (Today’s English Version).
  • B. Robert N. Davoren
    Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
  • C. Edward M. Kern
    Edward M. Kern was a 19th-century American topographer and explorer after whom California’s Kern County was named.
  • D. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • E. Arthur C. Wahl
    Arthur C. Wahl was an American chemist best known as one of the co-discoverers of the element plutonium and a key contributor to early nuclear chemistry research.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f86efec8190bc357dddf6ebb4a9 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f778438c8190bdc44ef9213f7ac3 completed March 27, 2026, 9:32 p.m.
NEDg Description generation batch_69c6f86efd00819099d48fe7cb9640a3 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f91ac7788190832a133c4fe046f1 completed March 27, 2026, 9:39 p.m.
Created at: March 22, 2026, 4:07 p.m.