Triple
T17213968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Factory |
E417804
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Steven Bognar
Steven Bognar is an American documentary filmmaker known for his intimate, socially conscious films, including the Oscar-winning "American Factory."
|
E1257851
|
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: Steven Bognar | Statement: [American Factory, director, Steven Bognar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Bognar Context triple: [American Factory, director, Steven Bognar]
-
A.
Gregory Nussbaum
Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
-
B.
Christopher De Vore
Christopher De Vore is an American screenwriter best known for co-writing the acclaimed 1980 film "The Elephant Man."
-
C.
John Easterling
John Easterling is an American businessman and environmental entrepreneur best known as the husband of singer and actress Olivia Newton-John and as the founder of the Amazon Herb Company.
-
D.
Michael Barnett
Michael Barnett is an international relations scholar known for his work on global governance, humanitarianism, and international organizations.
-
E.
Scott Rothman
Scott Rothman is an American screenwriter best known for co-writing the sports drama film "Draft Day."
- 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: Steven Bognar Triple: [American Factory, director, Steven Bognar]
Generated description
Steven Bognar is an American documentary filmmaker known for his intimate, socially conscious films, including the Oscar-winning "American Factory."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Bognar Target entity description: Steven Bognar is an American documentary filmmaker known for his intimate, socially conscious films, including the Oscar-winning "American Factory."
-
A.
Gregory Nussbaum
Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
-
B.
Christopher De Vore
Christopher De Vore is an American screenwriter best known for co-writing the acclaimed 1980 film "The Elephant Man."
-
C.
John Easterling
John Easterling is an American businessman and environmental entrepreneur best known as the husband of singer and actress Olivia Newton-John and as the founder of the Amazon Herb Company.
-
D.
Michael Barnett
Michael Barnett is an international relations scholar known for his work on global governance, humanitarianism, and international organizations.
-
E.
Scott Rothman
Scott Rothman is an American screenwriter best known for co-writing the sports drama film "Draft Day."
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc795d08190b90801a4f8b23afe |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016751a5788190a385774d1ff002d0 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016846e8248190b9209bb344396bfa |
completed | May 11, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0168b535a88190b8c84c76871ae2fe |
completed | May 11, 2026, 5:27 a.m. |
Created at: April 10, 2026, 5:38 a.m.