Triple
T3332218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordell Robbie |
E70057
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object |
Mark Dargus
Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
|
E375094
|
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: Mark Dargus | Statement: [Ordell Robbie, enemyOf, Mark Dargus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Dargus Context triple: [Ordell Robbie, enemyOf, Mark Dargus]
-
A.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
-
B.
Gavin Millar
Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
-
C.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
-
D.
Adrian Johnston
Adrian Johnston is a British composer known for his extensive work on film and television scores.
-
E.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
- 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: Mark Dargus Triple: [Ordell Robbie, enemyOf, Mark Dargus]
Generated description
Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Dargus Target entity description: Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
-
A.
Duncan Henderson
Duncan Henderson was an American film producer and production manager known for his work on major Hollywood films including "Master and Commander: The Far Side of the World."
-
B.
Gavin Millar
Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
-
C.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
-
D.
Adrian Johnston
Adrian Johnston is a British composer known for his extensive work on film and television scores.
-
E.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb19358e48190a503af01b92273a4 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44edc21e08190ae32f7470e369c3c |
completed | March 13, 2026, 5:52 p.m. |
| NEDg | Description generation | batch_69b450e472688190b70812b29f229bbd |
completed | March 13, 2026, 6:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45152b4008190a1de6d48a1a86cc9 |
completed | March 13, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:12 p.m.