Triple
T22574240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Next |
E544350
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Mads Heldtberg
Mads Heldtberg is a composer and musician known for creating atmospheric and unsettling scores for horror films such as "You're Next."
|
E1543078
|
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: Mads Heldtberg | Statement: [You're Next, musicBy, Mads Heldtberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mads Heldtberg Context triple: [You're Next, musicBy, Mads Heldtberg]
-
A.
Henrik Michelsen
Henrik Michelsen is a music producer best known for his work on the track "24 Hrs."
-
B.
Christian Møller
Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
-
C.
Jorgen Holmboe
Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
-
D.
Henrik Schyffert
Henrik Schyffert is a Swedish comedian, actor, and director known for his influential work in television, film, and stand-up comedy.
-
E.
Mads Jurik
Mads Jurik is a cryptographer known for his work on public-key cryptosystems and contributions to theoretical computer science, often in collaboration with Ivan Damgård.
- 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: Mads Heldtberg Triple: [You're Next, musicBy, Mads Heldtberg]
Generated description
Mads Heldtberg is a composer and musician known for creating atmospheric and unsettling scores for horror films such as "You're Next."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mads Heldtberg Target entity description: Mads Heldtberg is a composer and musician known for creating atmospheric and unsettling scores for horror films such as "You're Next."
-
A.
Henrik Michelsen
Henrik Michelsen is a music producer best known for his work on the track "24 Hrs."
-
B.
Christian Møller
Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
-
C.
Jorgen Holmboe
Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
-
D.
Henrik Schyffert
Henrik Schyffert is a Swedish comedian, actor, and director known for his influential work in television, film, and stand-up comedy.
-
E.
Mads Jurik
Mads Jurik is a cryptographer known for his work on public-key cryptosystems and contributions to theoretical computer science, often in collaboration with Ivan Damgård.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7ad7888190b2815c074475d932 |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b3648cb208190b749e343c3d5c88d |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37002120819097bf1f6e56b6afe5 |
completed | May 18, 2026, 3:57 p.m. |
Created at: April 16, 2026, 8:53 p.m.