Triple
T9025100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troup |
E216026
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Frank Troup
Frank Troup was an English cricketer who played first-class cricket in the early 20th century.
|
E777057
|
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: Frank Troup | Statement: [Troup, hasNotableBearer, Frank Troup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Troup Context triple: [Troup, hasNotableBearer, Frank Troup]
-
A.
Frank Tripp
Frank Tripp is a tough, no-nonsense Miami-Dade homicide detective on the television series CSI: Miami, known for his dry wit and steady support of the CSI team.
-
B.
Arthur Strawn
Arthur Strawn was an American screenwriter active during the early 20th century, known for his work on several Hollywood films.
-
C.
Bill Travers
Bill Travers was a British actor and wildlife conservationist best known for his roles in mid-20th-century films and for co-founding the Born Free Foundation.
-
D.
Frank Otis
Frank Otis was an individual significant enough in U.S. military or aviation history that a major installation, Otis Air Force Base in Massachusetts, was named in his honor.
-
E.
Roy McGivern
Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
- 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: Frank Troup Triple: [Troup, hasNotableBearer, Frank Troup]
Generated description
Frank Troup was an English cricketer who played first-class cricket in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Troup Target entity description: Frank Troup was an English cricketer who played first-class cricket in the early 20th century.
-
A.
Frank Tripp
Frank Tripp is a tough, no-nonsense Miami-Dade homicide detective on the television series CSI: Miami, known for his dry wit and steady support of the CSI team.
-
B.
Arthur Strawn
Arthur Strawn was an American screenwriter active during the early 20th century, known for his work on several Hollywood films.
-
C.
Bill Travers
Bill Travers was a British actor and wildlife conservationist best known for his roles in mid-20th-century films and for co-founding the Born Free Foundation.
-
D.
Frank Otis
Frank Otis was an individual significant enough in U.S. military or aviation history that a major installation, Otis Air Force Base in Massachusetts, was named in his honor.
-
E.
Roy McGivern
Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017643df48190abdb672a3f85aef3 |
completed | April 3, 2026, 7:39 p.m. |
| NEDg | Description generation | batch_69d019059e8481909a696575366aa0b6 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019a2736c8190880c8f3786cf353b |
completed | April 3, 2026, 7:48 p.m. |
Created at: March 30, 2026, 7:07 p.m.