Triple
T14899930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagan |
E359976
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jeremy Sagan
Jeremy Sagan is a relatively obscure individual primarily known only as a namesake associated with the surname Sagan.
|
E1124773
|
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: Jeremy Sagan | Statement: [Sagan, hasNotableBearer, Jeremy Sagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Sagan Context triple: [Sagan, hasNotableBearer, Jeremy Sagan]
-
A.
Christopher Jahnke
Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous Broadway productions.
-
B.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
C.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
D.
Chris Sussman
Chris Sussman is a British television producer and comedy executive known for overseeing and developing numerous UK sitcoms and comedy series.
-
E.
Jeremy Senglin
Jeremy Senglin is an American professional basketball player best known for his standout collegiate career as a sharpshooting guard at Weber State University.
- 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: Jeremy Sagan Triple: [Sagan, hasNotableBearer, Jeremy Sagan]
Generated description
Jeremy Sagan is a relatively obscure individual primarily known only as a namesake associated with the surname Sagan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeremy Sagan Target entity description: Jeremy Sagan is a relatively obscure individual primarily known only as a namesake associated with the surname Sagan.
-
A.
Christopher Jahnke
Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous Broadway productions.
-
B.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
C.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
D.
Chris Sussman
Chris Sussman is a British television producer and comedy executive known for overseeing and developing numerous UK sitcoms and comedy series.
-
E.
Jeremy Senglin
Jeremy Senglin is an American professional basketball player best known for his standout collegiate career as a sharpshooting guard at Weber State University.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b6a8aac8190ad062b80d384fb14 |
completed | May 8, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_69fe6c68c46881909e7c748c0dff73d5 |
completed | May 8, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6d1eea60819087ca2ebc7d0a8994 |
completed | May 8, 2026, 11:09 p.m. |
Created at: April 10, 2026, 2:11 a.m.