Triple
T13508633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn |
E321078
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Daniel Gluck
Daniel Gluck is a central fictional character in Ali Smith’s novel "Autumn," around whom themes of memory, time, and friendship are explored.
|
E1050372
|
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 Gluck | Statement: [Autumn, mainCharacter, Daniel Gluck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Gluck Context triple: [Autumn, mainCharacter, Daniel Gluck]
-
A.
Martin Weinberg
Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
-
B.
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.
-
C.
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.
-
D.
Richard Rochberg
Richard Rochberg is an American mathematician known for his contributions to harmonic analysis and operator theory.
-
E.
Richard Landau
Richard Landau was an American screenwriter known for his work on mid-20th-century genre films and television, particularly in science fiction and crime.
- 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 Gluck Triple: [Autumn, mainCharacter, Daniel Gluck]
Generated description
Daniel Gluck is a central fictional character in Ali Smith’s novel "Autumn," around whom themes of memory, time, and friendship are explored.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Gluck Target entity description: Daniel Gluck is a central fictional character in Ali Smith’s novel "Autumn," around whom themes of memory, time, and friendship are explored.
-
A.
Martin Weinberg
Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
-
B.
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.
-
C.
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.
-
D.
Richard Rochberg
Richard Rochberg is an American mathematician known for his contributions to harmonic analysis and operator theory.
-
E.
Richard Landau
Richard Landau was an American screenwriter known for his work on mid-20th-century genre films and television, particularly in science fiction and crime.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8239c481909faf5a9c403b55f2 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f7800caaf0819085e553f96a9f99cf |
completed | May 3, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78089050c81909943164d1a41a37f |
completed | May 3, 2026, 5:06 p.m. |
Created at: April 9, 2026, 9:43 p.m.