Triple
T14635699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medicine for Melancholy |
E343600
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object |
Cherie Saulter
Cherie Saulter is a film producer best known for her work on the independent romantic drama "Medicine for Melancholy."
|
E1201646
|
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: Cherie Saulter | Statement: [Medicine for Melancholy, producedBy, Cherie Saulter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherie Saulter Context triple: [Medicine for Melancholy, producedBy, Cherie Saulter]
-
A.
Cheryl Malone
Cheryl Malone is a notable individual recognized for achievements significant enough to be associated with the Malone surname.
-
B.
Cheryl Johnson
Cheryl Johnson is the wife of American sportscaster Ernie Johnson Jr., known for her long-standing support of his broadcasting career and their family.
-
C.
Cherie Wood
Cherie Wood is an American local politician who serves as the mayor of South Salt Lake, Utah.
-
D.
Maree Cheatham
Maree Cheatham is an American actress best known for her long-running roles in daytime soap operas and recurring appearances in film and television comedies.
-
E.
Cheryl Pawelski
Cheryl Pawelski is a Grammy-winning American music producer and archivist known for her work preserving and reissuing classic recordings.
- 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: Cherie Saulter Triple: [Medicine for Melancholy, producedBy, Cherie Saulter]
Generated description
Cherie Saulter is a film producer best known for her work on the independent romantic drama "Medicine for Melancholy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherie Saulter Target entity description: Cherie Saulter is a film producer best known for her work on the independent romantic drama "Medicine for Melancholy."
-
A.
Cheryl Malone
Cheryl Malone is a notable individual recognized for achievements significant enough to be associated with the Malone surname.
-
B.
Cheryl Johnson
Cheryl Johnson is the wife of American sportscaster Ernie Johnson Jr., known for her long-standing support of his broadcasting career and their family.
-
C.
Cherie Wood
Cherie Wood is an American local politician who serves as the mayor of South Salt Lake, Utah.
-
D.
Maree Cheatham
Maree Cheatham is an American actress best known for her long-running roles in daytime soap operas and recurring appearances in film and television comedies.
-
E.
Cheryl Pawelski
Cheryl Pawelski is a Grammy-winning American music producer and archivist known for her work preserving and reissuing classic recordings.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebbc67c8190bd930a2773edb5b2 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f7e6338819099598bc22d31cd22 |
completed | May 10, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001025300c819084933d9c6d19fe97 |
completed | May 10, 2026, 4:57 a.m. |
Created at: April 10, 2026, 1:26 a.m.