Triple
T13831666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nashville |
E332412
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Tim Lauer
Tim Lauer is an American composer, producer, and keyboardist known for his work across country, pop, and television music, particularly in the Nashville music scene.
|
E1079053
|
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: Tim Lauer | Statement: [Nashville, composer, Tim Lauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Lauer Context triple: [Nashville, composer, Tim Lauer]
-
A.
Jack Lauer
Jack Lauer is the son of former "Today" show co-anchor Matt Lauer.
-
B.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
C.
Ken Ehrlich
Ken Ehrlich is a veteran American television producer best known for his long-running role shaping the modern Grammy Awards broadcasts.
-
D.
Greg Latta
Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
-
E.
Kirk La Shelle
Kirk La Shelle was an American playwright and screenwriter active in the early 20th century, known for adapting popular literary works for the stage and screen.
- 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: Tim Lauer Triple: [Nashville, composer, Tim Lauer]
Generated description
Tim Lauer is an American composer, producer, and keyboardist known for his work across country, pop, and television music, particularly in the Nashville music scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Lauer Target entity description: Tim Lauer is an American composer, producer, and keyboardist known for his work across country, pop, and television music, particularly in the Nashville music scene.
-
A.
Jack Lauer
Jack Lauer is the son of former "Today" show co-anchor Matt Lauer.
-
B.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
C.
Ken Ehrlich
Ken Ehrlich is a veteran American television producer best known for his long-running role shaping the modern Grammy Awards broadcasts.
-
D.
Greg Latta
Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
-
E.
Kirk La Shelle
Kirk La Shelle was an American playwright and screenwriter active in the early 20th century, known for adapting popular literary works for the stage and screen.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08c21a48190b4077d5acb4ab658 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd176632c8190aa7dee337688b043 |
completed | May 7, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd28c1f0c819083b934a6afd656bf |
completed | May 7, 2026, 5:57 p.m. |
Created at: April 9, 2026, 10:13 p.m.