Triple
T4559293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sports Night |
E120553
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
|
E474052
|
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: Dan Rydell | Statement: [Sports Night, mainCharacter, Dan Rydell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Rydell Context triple: [Sports Night, mainCharacter, Dan Rydell]
-
A.
Rick DeWitt
Rick DeWitt is a philosopher known for his work in logic and the philosophy of science, including authorship of accessible textbooks in these areas.
-
B.
David Clouse
David Clouse is an entrepreneur best known as the founder of the vacation rental platform Vrbo (Vacation Rentals by Owner).
-
C.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
- 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: Dan Rydell Triple: [Sports Night, mainCharacter, Dan Rydell]
Generated description
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Rydell Target entity description: Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
-
A.
Rick DeWitt
Rick DeWitt is a philosopher known for his work in logic and the philosophy of science, including authorship of accessible textbooks in these areas.
-
B.
David Clouse
David Clouse is an entrepreneur best known as the founder of the vacation rental platform Vrbo (Vacation Rentals by Owner).
-
C.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5829cc34819086ad2ae58446502e |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c76788c8190b6b9dfe008957222 |
completed | March 21, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69be5f40ff8081909614bcd3b2116e3f |
completed | March 21, 2026, 9:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5f8ccc1c8190910f13bcf9d2ab9a |
completed | March 21, 2026, 9:06 a.m. |
Created at: March 20, 2026, 1:09 p.m.