Triple
T9217926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristanna Loken |
E221286
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
BloodRayne
BloodRayne is a 2005 action-horror film adaptation of the video game series, centered on a half-vampire warrior battling supernatural forces in 18th-century Europe.
|
E786006
|
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: BloodRayne | Statement: [Kristanna Loken, appearedIn, BloodRayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BloodRayne Context triple: [Kristanna Loken, appearedIn, BloodRayne]
-
A.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
B.
Havoc
Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
-
C.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
D.
Lady of Rage
Lady of Rage is an American rapper and actress best known for her work with Death Row Records in the 1990s, including standout appearances alongside Snoop Dogg and Dr. Dre.
-
E.
Frenzy
"Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
- 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: BloodRayne Triple: [Kristanna Loken, appearedIn, BloodRayne]
Generated description
BloodRayne is a 2005 action-horror film adaptation of the video game series, centered on a half-vampire warrior battling supernatural forces in 18th-century Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BloodRayne Target entity description: BloodRayne is a 2005 action-horror film adaptation of the video game series, centered on a half-vampire warrior battling supernatural forces in 18th-century Europe.
-
A.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
B.
Havoc
Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
-
C.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
D.
Lady of Rage
Lady of Rage is an American rapper and actress best known for her work with Death Row Records in the 1990s, including standout appearances alongside Snoop Dogg and Dr. Dre.
-
E.
Frenzy
"Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0ae3d081908ff3f5dab52df5ae |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662427dc81908cb9bfacc5b9e0f5 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0697b506c8190b14acbec1266f4bc |
completed | April 4, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d06a01520081908f697cf285c88c00 |
completed | April 4, 2026, 1:31 a.m. |
Created at: March 30, 2026, 7:27 p.m.