Triple
T5148689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog |
E116137
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Julie Ryan
Julie Ryan is a film producer best known for her work on the acclaimed Australian drama "Red Dog."
|
E500691
|
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: Julie Ryan | Statement: [Red Dog, producer, Julie Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Ryan Context triple: [Red Dog, producer, Julie Ryan]
-
A.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
-
B.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
-
C.
Jill Russell
Jill Russell is a member of the Russell family best known as the sister of American actor Kurt Russell.
-
D.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
-
E.
Joyce Kinney
Joyce Kinney is a fictional news anchor character from the animated television series "Family Guy," where she works alongside Tom Tucker at the local TV station.
- 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: Julie Ryan Triple: [Red Dog, producer, Julie Ryan]
Generated description
Julie Ryan is a film producer best known for her work on the acclaimed Australian drama "Red Dog."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Ryan Target entity description: Julie Ryan is a film producer best known for her work on the acclaimed Australian drama "Red Dog."
-
A.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
-
B.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
-
C.
Jill Russell
Jill Russell is a member of the Russell family best known as the sister of American actor Kurt Russell.
-
D.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
-
E.
Joyce Kinney
Joyce Kinney is a fictional news anchor character from the animated television series "Family Guy," where she works alongside Tom Tucker at the local TV station.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07016e4819094aacafec653e700 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5d5ff4c8190a972492312f0356a |
completed | March 21, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee631b5e081908da0d0ffed1ff6b3 |
completed | March 21, 2026, 6:40 p.m. |
Created at: March 20, 2026, 1:43 p.m.