Triple
T16909642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Soldiers |
E410160
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Cooper
Cooper is the resilient and resourceful British soldier who serves as the central protagonist in the 2002 werewolf horror film "Dog Soldiers."
|
E1240216
|
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: Cooper | Statement: [Dog Soldiers, mainCharacter, Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cooper Context triple: [Dog Soldiers, mainCharacter, Cooper]
-
A.
Cooper
Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
-
B.
Cooper
Cooper was a pioneering British Formula One constructor best known for popularizing rear-engined race cars and achieving championship success in the late 1950s and early 1960s.
-
C.
Cooper
Cooper is a popular mid-level trim designation used by Mini for its vehicles, offering enhanced performance and features over the base models.
-
D.
Cooper
Cooper is the internal codename used by Samsung for the Galaxy Ace smartphone model.
-
E.
Cooper
Cooper is the main protagonist and former NASA pilot in the science fiction film "Interstellar," who joins a space mission to secure humanity's survival.
- 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: Cooper Triple: [Dog Soldiers, mainCharacter, Cooper]
Generated description
Cooper is the resilient and resourceful British soldier who serves as the central protagonist in the 2002 werewolf horror film "Dog Soldiers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cooper Target entity description: Cooper is the resilient and resourceful British soldier who serves as the central protagonist in the 2002 werewolf horror film "Dog Soldiers."
-
A.
Cooper
Cooper is a central character in the science fiction horror film "Event Horizon," serving as a member of the rescue crew sent to investigate the reappearance of the experimental starship.
-
B.
Cooper
Cooper is the main protagonist and former NASA pilot in the science fiction film "Interstellar," who joins a space mission to secure humanity's survival.
-
C.
Cooper
Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
-
D.
Cooper
Cooper was a pioneering British Formula One constructor best known for popularizing rear-engined race cars and achieving championship success in the late 1950s and early 1960s.
-
E.
Cooper
Cooper is a popular mid-level trim designation used by Mini for its vehicles, offering enhanced performance and features over the base models.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b98d5c8190b61de47b246549e3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9cb23d08190b1757015f4374e85 |
completed | May 10, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ca99c7108190a4be2cb08b414888 |
completed | May 10, 2026, 6:12 p.m. |
Created at: April 10, 2026, 5:30 a.m.