Triple
T13002698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Below Deck |
E322207
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Doug Ross
Doug Ross is a television producer and creator best known for developing the reality series "Below Deck."
|
E1016622
|
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: Doug Ross | Statement: [Below Deck, creator, Doug Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Ross Context triple: [Below Deck, creator, Doug Ross]
-
A.
Sean McAvoy
Sean McAvoy is a fictional character appearing in the 1975 romantic drama film "Mahogany."
-
B.
Dr. Doug Ross
Dr. Doug Ross is a charismatic and rebellious pediatrician on the television medical drama "ER," known for his deep compassion for children and complex personal life.
-
C.
Dr. Eric Foreman
Dr. Eric Foreman is a neurologist and member of Dr. Gregory House’s diagnostic team on the medical drama series "House," known for his professionalism, moral convictions, and often serving as House’s ethical counterpoint.
-
D.
Marc Grossman
Marc Grossman is an editor known for his work on the publication "Vamp."
-
E.
Dr. Robert Chase
Dr. Robert Chase is a fictional intensivist and diagnostic team member on the medical drama series "House," known for his evolving loyalty, moral conflicts, and complex relationship with Dr. Gregory House.
- 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: Doug Ross Triple: [Below Deck, creator, Doug Ross]
Generated description
Doug Ross is a television producer and creator best known for developing the reality series "Below Deck."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Ross Target entity description: Doug Ross is a television producer and creator best known for developing the reality series "Below Deck."
-
A.
Sean McAvoy
Sean McAvoy is a fictional character appearing in the 1975 romantic drama film "Mahogany."
-
B.
Dr. Doug Ross
Dr. Doug Ross is a charismatic and rebellious pediatrician on the television medical drama "ER," known for his deep compassion for children and complex personal life.
-
C.
Dr. Eric Foreman
Dr. Eric Foreman is a neurologist and member of Dr. Gregory House’s diagnostic team on the medical drama series "House," known for his professionalism, moral convictions, and often serving as House’s ethical counterpoint.
-
D.
Marc Grossman
Marc Grossman is an editor known for his work on the publication "Vamp."
-
E.
Dr. Robert Chase
Dr. Robert Chase is a fictional intensivist and diagnostic team member on the medical drama series "House," known for his evolving loyalty, moral conflicts, and complex relationship with Dr. Gregory House.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 9, 2026, 8:47 p.m.