Triple
T2352038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Dahlia |
E47468
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Bill Pankow
Bill Pankow is an American film editor known for his work on numerous feature films, including crime and thriller dramas.
|
E271639
|
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: Bill Pankow | Statement: [The Black Dahlia, editedBy, Bill Pankow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Pankow Context triple: [The Black Dahlia, editedBy, Bill Pankow]
-
A.
Joe Klotz
Joe Klotz is an American film editor best known for his acclaimed work on the drama film "Precious."
-
B.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
C.
Fred Karger
Fred Karger was an American musician and vocal coach best known for his work at major Hollywood studios and his long, on-and-off marriage to actress Jane Wyman.
-
D.
Tony Kiser
Tony Kiser is an American theater producer and philanthropist known for his significant support of the performing arts, including having an Off-Broadway theater named in his honor.
-
E.
Joe Lorkowski
Joe Lorkowski is a character in the film "Sunshine Cleaning," portrayed as the young son of the protagonist, Rose Lorkowski.
- 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: Bill Pankow Triple: [The Black Dahlia, editedBy, Bill Pankow]
Generated description
Bill Pankow is an American film editor known for his work on numerous feature films, including crime and thriller dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Pankow Target entity description: Bill Pankow is an American film editor known for his work on numerous feature films, including crime and thriller dramas.
-
A.
Joe Klotz
Joe Klotz is an American film editor best known for his acclaimed work on the drama film "Precious."
-
B.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
C.
Fred Karger
Fred Karger was an American musician and vocal coach best known for his work at major Hollywood studios and his long, on-and-off marriage to actress Jane Wyman.
-
D.
Tony Kiser
Tony Kiser is an American theater producer and philanthropist known for his significant support of the performing arts, including having an Off-Broadway theater named in his honor.
-
E.
Joe Lorkowski
Joe Lorkowski is a character in the film "Sunshine Cleaning," portrayed as the young son of the protagonist, Rose Lorkowski.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f8ff548190b07505310e2bf0b9 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f7ac4c8819091132fa9cb265552 |
completed | March 9, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_69af200e2db4819085851a45213edc89 |
completed | March 9, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af208dfab081909d706aad8ff5f615 |
completed | March 9, 2026, 7:33 p.m. |
Created at: March 4, 2026, 7:54 p.m.