Triple
T1145471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our American Cousin |
E23554
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Tom Taylor
Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
|
E131305
|
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: Tom Taylor | Statement: [Our American Cousin, author, Tom Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Taylor Context triple: [Our American Cousin, author, Tom Taylor]
-
A.
Richard Johns
Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
C. J. Cregg
C. J. Cregg is a fictional White House Press Secretary and later Chief of Staff on the political drama series "The West Wing," known for her sharp wit, integrity, and commanding presence in the briefing room.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
-
E.
Henry Jackman
Henry Jackman is a British film composer known for his dynamic, hybrid orchestral-electronic scores for major Hollywood blockbusters and action films.
- 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: Tom Taylor Triple: [Our American Cousin, author, Tom Taylor]
Generated description
Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Taylor Target entity description: Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
-
A.
Richard Johns
Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
C. J. Cregg
C. J. Cregg is a fictional White House Press Secretary and later Chief of Staff on the political drama series "The West Wing," known for her sharp wit, integrity, and commanding presence in the briefing room.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
-
E.
Henry Jackman
Henry Jackman is a British film composer known for his dynamic, hybrid orchestral-electronic scores for major Hollywood blockbusters and action films.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc51244c8190bcd533f3e80c8f17 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb1f7d08190ba722dcbbc8a6799 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f5ac2f88190a1d27b6ff457ddd3 |
completed | March 7, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5fbd55d88190a21f0e288bd9ae0a |
completed | March 7, 2026, 5:26 p.m. |
Created at: March 1, 2026, 7:44 p.m.