Triple
T7098063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Network |
E165381
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object |
James Warburton
James Warburton is an Australian media executive best known as the chief executive officer of the Seven Network.
|
E641558
|
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: James Warburton | Statement: [Seven Network, keyPerson, James Warburton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Warburton Context triple: [Seven Network, keyPerson, James Warburton]
-
A.
Edward Ward
Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
-
B.
Thomas Whately
Thomas Whately was an 18th-century British politician, writer, and landscape gardening theorist known for his influential work on English garden design.
-
C.
Thomas Basset
Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
-
D.
William Orlamond
William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
-
E.
Guy Woolford
Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
- 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: James Warburton Triple: [Seven Network, keyPerson, James Warburton]
Generated description
James Warburton is an Australian media executive best known as the chief executive officer of the Seven Network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Warburton Target entity description: James Warburton is an Australian media executive best known as the chief executive officer of the Seven Network.
-
A.
Edward Ward
Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
-
B.
Thomas Whately
Thomas Whately was an 18th-century British politician, writer, and landscape gardening theorist known for his influential work on English garden design.
-
C.
Thomas Basset
Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
-
D.
William Orlamond
William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
-
E.
Guy Woolford
Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5561dd08190be6b784754a0c1bc |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca2be7c8190b5a8c6f2c64a0d8d |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d16d3408190a36ab53d5d202e15 |
completed | March 28, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79dc7d7d8819097e423ef70b03040 |
completed | March 28, 2026, 9:22 a.m. |
Created at: March 27, 2026, 2:42 p.m.