Triple
T9968405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolph Lundgren |
E195740
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Red Scorpion
Red Scorpion is a 1988 Cold War–era action film starring Dolph Lundgren as a Soviet special forces officer sent to assassinate an African rebel leader.
|
E832067
|
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: Red Scorpion | Statement: [Dolph Lundgren, knownFor, Red Scorpion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Scorpion Context triple: [Dolph Lundgren, knownFor, Red Scorpion]
-
A.
Scorpion II
Scorpion II was a predynastic Egyptian ruler, likely a king of Upper Egypt, who reigned shortly before the unification of Egypt under Narmer.
-
B.
Strike Back
Strike Back is a British action–drama television series centered on covert military operations and counterterrorism missions around the world.
-
C.
License to Kill
"License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
-
D.
Red Heat
Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
-
E.
Killer Force
Killer Force is a 1976 action-thriller film about a security chief investigating a suspected diamond heist at a South African mine.
- 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: Red Scorpion Triple: [Dolph Lundgren, knownFor, Red Scorpion]
Generated description
Red Scorpion is a 1988 Cold War–era action film starring Dolph Lundgren as a Soviet special forces officer sent to assassinate an African rebel leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Scorpion Target entity description: Red Scorpion is a 1988 Cold War–era action film starring Dolph Lundgren as a Soviet special forces officer sent to assassinate an African rebel leader.
-
A.
Scorpion II
Scorpion II was a predynastic Egyptian ruler, likely a king of Upper Egypt, who reigned shortly before the unification of Egypt under Narmer.
-
B.
Strike Back
Strike Back is a British action–drama television series centered on covert military operations and counterterrorism missions around the world.
-
C.
License to Kill
"License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
-
D.
Red Heat
Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
-
E.
Killer Force
Killer Force is a 1976 action-thriller film about a security chief investigating a suspected diamond heist at a South African mine.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23f35049c8190a71a88f5dd686596 |
completed | April 5, 2026, 10:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24097d4008190b7a9e7638cd9a972 |
completed | April 5, 2026, 10:59 a.m. |
Created at: March 30, 2026, 8:47 p.m.