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.