Triple
T4887886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. J. Cregg |
E109481
|
entity |
| Predicate | romanticRelationship |
P9994
|
FINISHED |
| Object |
Danny Concannon
Danny Concannon is a fictional White House reporter for The Washington Post on the television series "The West Wing."
|
E477355
|
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: Danny Concannon | Statement: [C. J. Cregg, romanticRelationship, Danny Concannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Concannon Context triple: [C. J. Cregg, romanticRelationship, Danny Concannon]
-
A.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
B.
Dennis Burkley
Dennis Burkley was an American character actor known for his burly appearance and roles in numerous film and television productions from the 1970s through the early 2000s.
-
C.
Kevin Cahoon
Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
-
D.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
E.
Stephan Talty
Stephan Talty is an American author and journalist known for his narrative nonfiction and co-authoring the book that inspired the film "Captain Phillips."
- 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: Danny Concannon Triple: [C. J. Cregg, romanticRelationship, Danny Concannon]
Generated description
Danny Concannon is a fictional White House reporter for The Washington Post on the television series "The West Wing."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Concannon Target entity description: Danny Concannon is a fictional White House reporter for The Washington Post on the television series "The West Wing."
-
A.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
B.
Dennis Burkley
Dennis Burkley was an American character actor known for his burly appearance and roles in numerous film and television productions from the 1970s through the early 2000s.
-
C.
Kevin Cahoon
Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
-
D.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
E.
Stephan Talty
Stephan Talty is an American author and journalist known for his narrative nonfiction and co-authoring the book that inspired the film "Captain Phillips."
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e053db8819087828e753c78d341 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be68126b288190889b2cf6e400ec0b |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be6a64cc2481908d8e66518bad9ac6 |
completed | March 21, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6ae548148190b16d4c9b17d3de9b |
completed | March 21, 2026, 9:54 a.m. |
Created at: March 20, 2026, 1:28 p.m.