Triple
T1987211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Office (U.S. TV series) |
E43169
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Jay Ferguson
Jay Ferguson is an American composer and former rock musician best known for writing the theme music for the U.S. television series "The Office."
|
E223023
|
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: Jay Ferguson | Statement: [The Office (U.S. TV series), composer, Jay Ferguson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Ferguson Context triple: [The Office (U.S. TV series), composer, Jay Ferguson]
-
A.
Glenn Ferguson
Glenn Ferguson is a former Northern Irish footballer and prolific striker best known for his long, successful career in the Irish League and his goal-scoring exploits with clubs including Linfield FC.
-
B.
Tony Gayton
Tony Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
-
E.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
- 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: Jay Ferguson Triple: [The Office (U.S. TV series), composer, Jay Ferguson]
Generated description
Jay Ferguson is an American composer and former rock musician best known for writing the theme music for the U.S. television series "The Office."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Ferguson Target entity description: Jay Ferguson is an American composer and former rock musician best known for writing the theme music for the U.S. television series "The Office."
-
A.
Glenn Ferguson
Glenn Ferguson is a former Northern Irish footballer and prolific striker best known for his long, successful career in the Irish League and his goal-scoring exploits with clubs including Linfield FC.
-
B.
Tony Gayton
Tony Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
-
E.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb840a5708190a9b64564b855fb22 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033410a88190bac79032a012549a |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03e575a88190a93181eb9d9bc3eb |
completed | March 8, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0473aecc8190b3da07fb8fd18e81 |
completed | March 8, 2026, 11:21 p.m. |
Created at: March 4, 2026, 7:37 p.m.