Triple
T3017959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interlude |
E82382
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Daniel Fuchs
Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
|
E370687
|
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: Daniel Fuchs | Statement: [Interlude, screenwriter, Daniel Fuchs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Fuchs Context triple: [Interlude, screenwriter, Daniel Fuchs]
-
A.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
B.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
C.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Daniel W. Herzog
Daniel W. Herzog is an American Anglican bishop best known for serving as the Bishop of the Episcopal Diocese of Albany in New York.
- 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: Daniel Fuchs Triple: [Interlude, screenwriter, Daniel Fuchs]
Generated description
Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Fuchs Target entity description: Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
-
A.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
B.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
C.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Daniel W. Herzog
Daniel W. Herzog is an American Anglican bishop best known for serving as the Bishop of the Episcopal Diocese of Albany in New York.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a90ea64819080620e60bbd6aa24 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402b6f23081909aea1345a2938113 |
completed | March 13, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_69b406bfa0588190a20d862a6f788c90 |
completed | March 13, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4086ab034819086c5fa7d4b172d75 |
completed | March 13, 2026, 12:51 p.m. |
Created at: March 8, 2026, 3 p.m.