Triple
T17442938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehlers |
E424702
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian Ehlers
Brian Ehlers is an individual notable enough to be specifically cited as a bearer of the surname Ehlers.
|
E1376187
|
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: Brian Ehlers | Statement: [Ehlers, hasNotableBearer, Brian Ehlers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Ehlers Context triple: [Ehlers, hasNotableBearer, Brian Ehlers]
-
A.
Eric Hinske
Eric Hinske is a former Major League Baseball third baseman and outfielder who played for multiple teams and later became a hitting coach.
-
B.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
-
C.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
D.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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: Brian Ehlers Triple: [Ehlers, hasNotableBearer, Brian Ehlers]
Generated description
Brian Ehlers is an individual notable enough to be specifically cited as a bearer of the surname Ehlers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Ehlers Target entity description: Brian Ehlers is an individual notable enough to be specifically cited as a bearer of the surname Ehlers.
-
A.
Eric Hinske
Eric Hinske is a former Major League Baseball third baseman and outfielder who played for multiple teams and later became a hitting coach.
-
B.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
-
C.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
D.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b10a120819091623eef93c7f29d |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073bb7169881908b34ab48750bdacb |
completed | May 15, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073c7caa108190b5617a71f2142fa9 |
completed | May 15, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:47 a.m.