Triple
T19544612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Ames |
E489008
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Urick
Urick is the birth surname of American singer and actor Ed Ames, known for his work with the Ames Brothers and on television.
|
E1382411
|
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: Urick | Statement: [Ed Ames, familyName, Urick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urick Context triple: [Ed Ames, familyName, Urick]
-
A.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
-
B.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
C.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
D.
Ritchson
Ritchson is the surname of American actor, model, and filmmaker Alan Ritchson, known for roles in projects like "Reacher" and "Blue Mountain State."
-
E.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
- 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: Urick Triple: [Ed Ames, familyName, Urick]
Generated description
Urick is the birth surname of American singer and actor Ed Ames, known for his work with the Ames Brothers and on television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urick Target entity description: Urick is the birth surname of American singer and actor Ed Ames, known for his work with the Ames Brothers and on television.
-
A.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
-
B.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
C.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
D.
Ritchson
Ritchson is the surname of American actor, model, and filmmaker Alan Ritchson, known for roles in projects like "Reacher" and "Blue Mountain State."
-
E.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63875cf40819088db7c7969be1e3d |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e86e6ec81908c81fece17063d1f |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a07508df47481908243632334ac7dae |
completed | May 15, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07510c6a188190accce6a17202ace8 |
completed | May 15, 2026, 4:59 p.m. |
Created at: April 10, 2026, 1:41 p.m.