Triple
T13222299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale Dobson |
E314783
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
Morgan Jurgenson
Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
|
E1032417
|
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: Morgan Jurgenson | Statement: [Dale Dobson, createdBy, Morgan Jurgenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Jurgenson Context triple: [Dale Dobson, createdBy, Morgan Jurgenson]
-
A.
Morgan Jurgenson
Morgan Jurgenson is a screenwriter best known for co-writing the cult horror-comedy film "Tucker & Dale vs. Evil."
-
B.
Morgan Jahnig
Morgan Jahnig is an American bassist best known for his long-time role in the Americana string band Old Crow Medicine Show.
-
C.
Morgan Hess
Morgan Hess is a central character in the 2002 science fiction thriller film "Signs," portrayed as the young son of former priest Graham Hess.
-
D.
Morgan Hentz
Morgan Hentz is an American volleyball libero best known for her standout collegiate career at Stanford University, where she became one of the top defensive players in the nation.
-
E.
Morgan Henderson
Morgan Henderson is an American multi-instrumentalist and composer best known as a member of the indie folk band Fleet Foxes and for his work with various experimental and rock projects.
- 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: Morgan Jurgenson Triple: [Dale Dobson, createdBy, Morgan Jurgenson]
Generated description
Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Jurgenson Target entity description: Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
-
A.
Morgan Jurgenson
Morgan Jurgenson is a screenwriter best known for co-writing the cult horror-comedy film "Tucker & Dale vs. Evil."
-
B.
Morgan Jahnig
Morgan Jahnig is an American bassist best known for his long-time role in the Americana string band Old Crow Medicine Show.
-
C.
Morgan Hess
Morgan Hess is a central character in the 2002 science fiction thriller film "Signs," portrayed as the young son of former priest Graham Hess.
-
D.
Morgan Hentz
Morgan Hentz is an American volleyball libero best known for her standout collegiate career at Stanford University, where she became one of the top defensive players in the nation.
-
E.
Morgan Henderson
Morgan Henderson is an American multi-instrumentalist and composer best known as a member of the indie folk band Fleet Foxes and for his work with various experimental and rock projects.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c4a71c8190b0e0ae40af115c64 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7177e07508190b46e6a12f09e7986 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f717e72b988190927b628022bcbf12 |
completed | May 3, 2026, 9:39 a.m. |
Created at: April 9, 2026, 9:18 p.m.