Triple
T11271694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweed Shire |
E266827
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Chris Cherry
Chris Cherry is an Australian local government politician who serves as the mayor of Tweed Shire in New South Wales.
|
E916132
|
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: Chris Cherry | Statement: [Tweed Shire, hasMayor, Chris Cherry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Cherry Context triple: [Tweed Shire, hasMayor, Chris Cherry]
-
A.
Michael Cochrane
Michael Cochrane is a British actor known for his extensive work in television, film, and radio, often appearing in period dramas and character roles.
-
B.
Chris Chesser
Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
-
C.
Neil Bonnett
Neil Bonnett was an American NASCAR driver and member of the famed "Alabama Gang," known for his multiple Cup Series victories during the 1970s and 1980s.
-
D.
Gary Cederstrom
Gary Cederstrom is a longtime Major League Baseball umpire who has officiated numerous postseason games and served as crew chief in multiple World Series.
-
E.
Tom Barrasso
Tom Barrasso is a former American NHL goaltender best known for backstopping the Pittsburgh Penguins to multiple Stanley Cup championships in the early 1990s.
- 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: Chris Cherry Triple: [Tweed Shire, hasMayor, Chris Cherry]
Generated description
Chris Cherry is an Australian local government politician who serves as the mayor of Tweed Shire in New South Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Cherry Target entity description: Chris Cherry is an Australian local government politician who serves as the mayor of Tweed Shire in New South Wales.
-
A.
Michael Cochrane
Michael Cochrane is a British actor known for his extensive work in television, film, and radio, often appearing in period dramas and character roles.
-
B.
Chris Chesser
Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
-
C.
Neil Bonnett
Neil Bonnett was an American NASCAR driver and member of the famed "Alabama Gang," known for his multiple Cup Series victories during the 1970s and 1980s.
-
D.
Gary Cederstrom
Gary Cederstrom is a longtime Major League Baseball umpire who has officiated numerous postseason games and served as crew chief in multiple World Series.
-
E.
Tom Barrasso
Tom Barrasso is a former American NHL goaltender best known for backstopping the Pittsburgh Penguins to multiple Stanley Cup championships in the early 1990s.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f43633948190b86f5603ac50ec47 |
completed | April 19, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff5881b8819080f9662a0c2d486d |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:31 p.m.