Triple
T5072094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Max |
E114304
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Roger Ward
Roger Ward is an Australian actor best known for his role as the tough police officer Fifi Macaffee in the 1979 action film "Mad Max."
|
E503276
|
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: Roger Ward | Statement: [Mad Max, starring, Roger Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Ward Context triple: [Mad Max, starring, Roger Ward]
-
A.
Fred Jowett
Fred Jowett was a British socialist politician and early Labour Party figure who served as MP for Bradford and helped shape the party’s formative policies and organization.
-
B.
Roy Chadwick
Roy Chadwick was a British aircraft designer best known for creating several iconic World War II bombers, including the Avro Lancaster.
-
C.
George Ward
George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
-
D.
Colin Hodgkin
Colin Hodgkin is a notable individual who shares the distinguished Hodgkin surname, likely recognized for contributions in a professional or academic field.
-
E.
Will Harridge
Will Harridge was an American baseball executive who served as president of the American League from 1931 to 1959.
- 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: Roger Ward Triple: [Mad Max, starring, Roger Ward]
Generated description
Roger Ward is an Australian actor best known for his role as the tough police officer Fifi Macaffee in the 1979 action film "Mad Max."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Ward Target entity description: Roger Ward is an Australian actor best known for his role as the tough police officer Fifi Macaffee in the 1979 action film "Mad Max."
-
A.
Fred Jowett
Fred Jowett was a British socialist politician and early Labour Party figure who served as MP for Bradford and helped shape the party’s formative policies and organization.
-
B.
Roy Chadwick
Roy Chadwick was a British aircraft designer best known for creating several iconic World War II bombers, including the Avro Lancaster.
-
C.
George Ward
George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
-
D.
Colin Hodgkin
Colin Hodgkin is a notable individual who shares the distinguished Hodgkin surname, likely recognized for contributions in a professional or academic field.
-
E.
Will Harridge
Will Harridge was an American baseball executive who served as president of the American League from 1931 to 1959.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74ce140881909a2874663244c0db |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef988a0c8190a6c7898df8e94a6e |
completed | March 21, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69bef20c05c88190ab134bc54f81d790 |
completed | March 21, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef25db45c819093c7e07eab6b8539 |
completed | March 21, 2026, 7:32 p.m. |
Created at: March 20, 2026, 1:39 p.m.