Triple
T16358945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daboll family |
E397260
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Nathan Daboll
Nathan Daboll was an American mathematician and educator best known for his widely used 18th–19th century arithmetic textbooks and almanacs.
|
E1207984
|
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: Nathan Daboll | Statement: [Daboll family, notableMember, Nathan Daboll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Daboll Context triple: [Daboll family, notableMember, Nathan Daboll]
-
A.
Luke Daboll
Luke Daboll is a member of the Daboll family, known primarily as a relative of NFL head coach Brian Daboll.
-
B.
Jack Daboll
Jack Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
C.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
D.
Brian Daboll
Brian Daboll is an American football coach best known for leading the New York Giants as their head coach after previously serving as a successful offensive coordinator in the NFL.
-
E.
Colin Cowherd
Colin Cowherd is an American sports media personality and radio/television host known for his outspoken commentary and opinion-driven analysis on major sports networks.
- 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: Nathan Daboll Triple: [Daboll family, notableMember, Nathan Daboll]
Generated description
Nathan Daboll was an American mathematician and educator best known for his widely used 18th–19th century arithmetic textbooks and almanacs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Daboll Target entity description: Nathan Daboll was an American mathematician and educator best known for his widely used 18th–19th century arithmetic textbooks and almanacs.
-
A.
Luke Daboll
Luke Daboll is a member of the Daboll family, known primarily as a relative of NFL head coach Brian Daboll.
-
B.
Jack Daboll
Jack Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
C.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
D.
Brian Daboll
Brian Daboll is an American football coach best known for leading the New York Giants as their head coach after previously serving as a successful offensive coordinator in the NFL.
-
E.
Colin Cowherd
Colin Cowherd is an American sports media personality and radio/television host known for his outspoken commentary and opinion-driven analysis on major sports networks.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad1859c819082b47bf9d7fabd9f |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbaacd88190b2c90c5be2832307 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002e92e840819080219d51dd6ddb34 |
completed | May 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002f171b588190b4690a28657fa76e |
completed | May 10, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:07 a.m.