Triple
T9112767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morten Tyldum |
E218641
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Amanda Award
The Amanda Award is Norway's premier national film award, recognizing excellence in Norwegian cinema.
|
E779111
|
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: Amanda Award | Statement: [Morten Tyldum, awardReceived, Amanda Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Award Context triple: [Morten Tyldum, awardReceived, Amanda Award]
-
A.
Anthony Award
The Anthony Award is a prestigious annual honor in the mystery and crime fiction community, presented at the Bouchercon World Mystery Convention to recognize outstanding works in the genre.
-
B.
RITA Award
The RITA Award was a prestigious annual honor presented by the Romance Writers of America to recognize excellence in published romance novels and novellas.
-
C.
Ellie Awards
The Ellie Awards are prestigious annual honors recognizing excellence in American magazine journalism and publishing.
-
D.
Robert Award
The Robert Award is Denmark’s premier national film prize, presented annually by the Danish Film Academy to honor outstanding achievements in Danish cinema.
-
E.
Eagle Award
The Eagle Award is a British fan-voted honor recognizing excellence in comic books and creators.
- 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: Amanda Award Triple: [Morten Tyldum, awardReceived, Amanda Award]
Generated description
The Amanda Award is Norway's premier national film award, recognizing excellence in Norwegian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Award Target entity description: The Amanda Award is Norway's premier national film award, recognizing excellence in Norwegian cinema.
-
A.
Anthony Award
The Anthony Award is a prestigious annual honor in the mystery and crime fiction community, presented at the Bouchercon World Mystery Convention to recognize outstanding works in the genre.
-
B.
RITA Award
The RITA Award was a prestigious annual honor presented by the Romance Writers of America to recognize excellence in published romance novels and novellas.
-
C.
Ellie Awards
The Ellie Awards are prestigious annual honors recognizing excellence in American magazine journalism and publishing.
-
D.
Robert Award
The Robert Award is Denmark’s premier national film prize, presented annually by the Danish Film Academy to honor outstanding achievements in Danish cinema.
-
E.
Eagle Award
The Eagle Award is a British fan-voted honor recognizing excellence in comic books and creators.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d0316f47c88190920843b469d15069 |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d032778adc8190a087497507a6e1ca |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.