Triple
T22891040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight and Day |
E568039
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Roy Miller
Roy Miller is the charming yet enigmatic secret agent portrayed by Tom Cruise in the action-comedy film "Knight and Day."
|
E1566387
|
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: Roy Miller | Statement: [Knight and Day, mainCharacter, Roy Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Miller Context triple: [Knight and Day, mainCharacter, Roy Miller]
-
A.
Carl Miller
Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
-
B.
Phil Miller
Phil Miller is a member of the National Health political party in the United Kingdom.
-
C.
John Miller
John Miller is a prominent American sports journalist and television anchor best known for his work on ESPN’s “20/20” sports coverage and related broadcasts.
-
D.
John Miller
John Miller was an American politician who became the inaugural governor of the U.S. state of North Dakota after its admission to the Union.
-
E.
John Miller
John Miller is the fictional American mortician-turned-reluctant protector portrayed by Christian Bale in the Chinese historical war drama film "The Flowers of War."
- 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: Roy Miller Triple: [Knight and Day, mainCharacter, Roy Miller]
Generated description
Roy Miller is the charming yet enigmatic secret agent portrayed by Tom Cruise in the action-comedy film "Knight and Day."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Miller Target entity description: Roy Miller is the charming yet enigmatic secret agent portrayed by Tom Cruise in the action-comedy film "Knight and Day."
-
A.
Carl Miller
Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
-
B.
Phil Miller
Phil Miller is a member of the National Health political party in the United Kingdom.
-
C.
John Miller
John Miller is the fictional American mortician-turned-reluctant protector portrayed by Christian Bale in the Chinese historical war drama film "The Flowers of War."
-
D.
John Miller
John Miller is an individual known primarily as a relative of Guillermo Miller.
-
E.
John Miller
John Miller is a prominent American sports journalist and television anchor best known for his work on ESPN’s “20/20” sports coverage and related broadcasts.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf292da8881908c1132f1a8238352 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf94b2fb88190914f7af090a4c3b9 |
completed | May 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf9bc16748190bd637d214d55e39d |
completed | May 19, 2026, 5:48 a.m. |
Created at: April 17, 2026, 3:40 p.m.