Triple
T10682159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCop |
E251783
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dick Jones
Dick Jones is the corrupt senior executive and primary antagonist in the 1987 science fiction film "RoboCop."
|
E878878
|
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: Dick Jones | Statement: [RoboCop, mainCharacter, Dick Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Jones Context triple: [RoboCop, mainCharacter, Dick Jones]
-
A.
Ken Jones
Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
-
B.
Jeff Jones
Jeff Jones is a Canadian musician best known as the original bassist for the rock band Rush before being replaced early in the group's history.
-
C.
Jeff Jones
Jeff Jones was an influential American fantasy and comic book artist renowned for his atmospheric, painterly style and evocative cover illustrations.
-
D.
Fred Jones
Fred Jones is the confident, blond leader of the Mystery Inc. gang in the Scooby-Doo franchise, known for his trap-making skills and teamwork with Scooby and the others.
-
E.
Ed Jones
Ed Jones is a former American football player best known as a defensive standout for the Dallas Cowboys during their dominant years in the 1970s and early 1980s.
- 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: Dick Jones Triple: [RoboCop, mainCharacter, Dick Jones]
Generated description
Dick Jones is the corrupt senior executive and primary antagonist in the 1987 science fiction film "RoboCop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dick Jones Target entity description: Dick Jones is the corrupt senior executive and primary antagonist in the 1987 science fiction film "RoboCop."
-
A.
Ken Jones
Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
-
B.
Jeff Jones
Jeff Jones was an influential American fantasy and comic book artist renowned for his atmospheric, painterly style and evocative cover illustrations.
-
C.
Jeff Jones
Jeff Jones is a Canadian musician best known as the original bassist for the rock band Rush before being replaced early in the group's history.
-
D.
Fred Jones
Fred Jones is the confident, blond leader of the Mystery Inc. gang in the Scooby-Doo franchise, known for his trap-making skills and teamwork with Scooby and the others.
-
E.
Ed Jones
Ed Jones is a former American football player best known as a defensive standout for the Dallas Cowboys during their dominant years in the 1970s and early 1980s.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98885abf88190b54ed9db779d3ff0 |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aea391c81909ec64a29053c35c1 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c013348819094bde38a057257b4 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.