Triple
T13222011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucker & Dale vs. Evil |
E314777
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Andrew Kaiser
Andrew Kaiser is a film composer best known for scoring the horror-comedy movie "Tucker & Dale vs. Evil."
|
E1027881
|
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: Andrew Kaiser | Statement: [Tucker & Dale vs. Evil, musicBy, Andrew Kaiser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Kaiser Context triple: [Tucker & Dale vs. Evil, musicBy, Andrew Kaiser]
-
A.
Dan Jones
Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
-
B.
David Holloway
David Holloway is a literary figure best known for serving on the distinguished jury that selected the Booker of Bookers award.
-
C.
Alan Ricks
Alan Ricks is an American architect and co-founder of MASS Design Group, known for his work on socially driven, community-focused design projects around the world.
-
D.
John Seale
John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
-
E.
David Potter
David Potter is a British entrepreneur and computer scientist best known as the founder of Psion, a pioneering company in handheld computing and personal digital assistants.
- 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: Andrew Kaiser Triple: [Tucker & Dale vs. Evil, musicBy, Andrew Kaiser]
Generated description
Andrew Kaiser is a film composer best known for scoring the horror-comedy movie "Tucker & Dale vs. Evil."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Kaiser Target entity description: Andrew Kaiser is a film composer best known for scoring the horror-comedy movie "Tucker & Dale vs. Evil."
-
A.
Dan Jones
Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
-
B.
David Holloway
David Holloway is a literary figure best known for serving on the distinguished jury that selected the Booker of Bookers award.
-
C.
Alan Ricks
Alan Ricks is an American architect and co-founder of MASS Design Group, known for his work on socially driven, community-focused design projects around the world.
-
D.
John Seale
John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
-
E.
David Potter
David Potter is a British entrepreneur and computer scientist best known as the founder of Psion, a pioneering company in handheld computing and personal digital assistants.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:18 p.m.