Triple
T21536926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misconduct |
E531371
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ellen Wander
Ellen Wander is a film and television producer known for her work on various independent and genre projects.
|
E1489379
|
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: Ellen Wander | Statement: [Misconduct, producer, Ellen Wander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Wander Context triple: [Misconduct, producer, Ellen Wander]
-
A.
Ellen Louise
Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
-
B.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
C.
Ellen Fowler
Ellen Fowler is a notable individual who shares the Fowler surname and has achieved sufficient recognition to be specifically cited among its bearers.
-
D.
Ellen Morris
Ellen Morris is a character in the coming-of-age film "My Dog Skip," appearing as part of the story surrounding the young protagonist and his beloved dog in 1940s Mississippi.
-
E.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
- 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: Ellen Wander Triple: [Misconduct, producer, Ellen Wander]
Generated description
Ellen Wander is a film and television producer known for her work on various independent and genre projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellen Wander Target entity description: Ellen Wander is a film and television producer known for her work on various independent and genre projects.
-
A.
Ellen Louise
Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
-
B.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
C.
Ellen Fowler
Ellen Fowler is a notable individual who shares the Fowler surname and has achieved sufficient recognition to be specifically cited among its bearers.
-
D.
Ellen Morris
Ellen Morris is a character in the coming-of-age film "My Dog Skip," appearing as part of the story surrounding the young protagonist and his beloved dog in 1940s Mississippi.
-
E.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e835fd08819098fde7600d5c91d6 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e909a4888190aa1d704eb157d86d |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ea119664819081b072c892fc0471 |
completed | May 17, 2026, 4:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.