Triple
T20774601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Rommel |
E511321
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The White Sound
The White Sound is a German drama film known for its intense portrayal of a young man's descent into psychosis and the challenges of mental illness.
|
E1449470
|
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: The White Sound | Statement: [Patricia Rommel, notableWork, The White Sound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The White Sound Context triple: [Patricia Rommel, notableWork, The White Sound]
-
A.
Song of White
"Song of White" is a track from the progressive rock album "Antarctica" by the band Antarctica.
-
B.
The Sound
"The Sound" is a catchy, synth-driven pop song by English band The 1975, known for its infectious chorus and polished, danceable production.
-
C.
The Sound
The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
-
D.
The White Place
The White Place is a striking New Mexico landscape of pale, sculpted rock formations and cliffs that has become a popular site for artists, photographers, and hikers.
-
E.
The Sound of Seas
The Sound of Seas is a literary work authored by Gillian Anderson, best known as the star of The X-Files.
- 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: The White Sound Triple: [Patricia Rommel, notableWork, The White Sound]
Generated description
The White Sound is a German drama film known for its intense portrayal of a young man's descent into psychosis and the challenges of mental illness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The White Sound Target entity description: The White Sound is a German drama film known for its intense portrayal of a young man's descent into psychosis and the challenges of mental illness.
-
A.
Song of White
"Song of White" is a track from the progressive rock album "Antarctica" by the band Antarctica.
-
B.
The Sound
"The Sound" is a catchy, synth-driven pop song by English band The 1975, known for its infectious chorus and polished, danceable production.
-
C.
The Sound
The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
-
D.
The White Place
The White Place is a striking New Mexico landscape of pale, sculpted rock formations and cliffs that has become a popular site for artists, photographers, and hikers.
-
E.
The Sound of Seas
The Sound of Seas is a literary work authored by Gillian Anderson, best known as the star of The X-Files.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26a39bc81909ca5d102056d8586 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef95f3d0819088cab88673d49c28 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f015f37081909e7202a76a5814ea |
completed | May 16, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f07dfb208190b00ad28d62e21de4 |
completed | May 16, 2026, 10:32 p.m. |
Created at: April 16, 2026, 12:37 p.m.