Triple
T10101924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schultz |
E216222
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ron Schultz
Ron Schultz is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Schultz.
|
E848549
|
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: Ron Schultz | Statement: [Schultz, hasNotableBearer, Ron Schultz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Schultz Context triple: [Schultz, hasNotableBearer, Ron Schultz]
-
A.
Al Schultz
Al Schultz is a notable individual who shares the surname Schultz and has achieved enough recognition to be specifically distinguished by name.
-
B.
Mark Schultz
Mark Schultz is an American singer-songwriter known for his contemporary Christian music and inspirational storytelling through songs.
-
C.
Rex Schultz
Rex Schultz is an individual notable enough to be recognized as a significant bearer of the surname Schultz.
-
D.
Kirk Schulz
Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
-
E.
Ben Schnetzer
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
- 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: Ron Schultz Triple: [Schultz, hasNotableBearer, Ron Schultz]
Generated description
Ron Schultz is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Schultz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Schultz Target entity description: Ron Schultz is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Schultz.
-
A.
Al Schultz
Al Schultz is a notable individual who shares the surname Schultz and has achieved enough recognition to be specifically distinguished by name.
-
B.
Mark Schultz
Mark Schultz is an American singer-songwriter known for his contemporary Christian music and inspirational storytelling through songs.
-
C.
Rex Schultz
Rex Schultz is an individual notable enough to be recognized as a significant bearer of the surname Schultz.
-
D.
Kirk Schulz
Kirk Schulz is an American academic leader and engineer who serves as the president of Washington State University.
-
E.
Ben Schnetzer
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd099c21c819097aac4f0f168a2da |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3697d5b008190b274a086172c7a7d |
completed | April 6, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_69d37540b60c8190a52b03c57b4e3708 |
completed | April 6, 2026, 8:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3763948188190a47f48076fc767cb |
completed | April 6, 2026, 9 a.m. |
Created at: March 30, 2026, 9:02 p.m.