Triple
T1108333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Target |
E25536
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object |
David Johnson
David Johnson is a cinematographer known for his work on the film "Wild Target."
|
E143831
|
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: David Johnson | Statement: [Wild Target, cinematographer, David Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Johnson Context triple: [Wild Target, cinematographer, David Johnson]
-
A.
Dennis Johnson
Dennis Johnson was a Hall of Fame NBA guard renowned for his tenacious defense and clutch play, most notably as a key member of the Boston Celtics' 1980s championship teams.
-
B.
Christopher Johnson
Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
C.
Derrick Johnson
Derrick Johnson is an American civil rights activist and attorney who serves as the president and CEO of the NAACP.
-
D.
Cavalier Johnson
Cavalier Johnson is an American politician who serves as the mayor of Milwaukee, Wisconsin.
-
E.
Jack Sikma
Jack Sikma is a Hall of Fame American basketball center best known for his seven-time All-Star career and key role in leading the Seattle SuperSonics to the 1979 NBA championship.
- 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: David Johnson Triple: [Wild Target, cinematographer, David Johnson]
Generated description
David Johnson is a cinematographer known for his work on the film "Wild Target."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Johnson Target entity description: David Johnson is a cinematographer known for his work on the film "Wild Target."
-
A.
Dennis Johnson
Dennis Johnson was a Hall of Fame NBA guard renowned for his tenacious defense and clutch play, most notably as a key member of the Boston Celtics' 1980s championship teams.
-
B.
Christopher Johnson
Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
C.
Derrick Johnson
Derrick Johnson is an American civil rights activist and attorney who serves as the president and CEO of the NAACP.
-
D.
Cavalier Johnson
Cavalier Johnson is an American politician who serves as the mayor of Milwaukee, Wisconsin.
-
E.
Jack Sikma
Jack Sikma is a Hall of Fame American basketball center best known for his seven-time All-Star career and key role in leading the Seattle SuperSonics to the 1979 NBA championship.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93b2283881908dde77abbbf864ae |
completed | March 7, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69ac943de3f0819085dff5ef12f01766 |
completed | March 7, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac95c05ab081909db602d7bea73bf4 |
completed | March 7, 2026, 9:16 p.m. |
Created at: March 1, 2026, 7:43 p.m.