Triple
T21780604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson Algren |
E537699
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Kurt Vonnegut |
—
|
NE NERFINISHED |
How this triple was built (2 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: Kurt Vonnegut | Statement: [Nelson Algren, influenced, Kurt Vonnegut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Vonnegut Context triple: [Nelson Algren, influenced, Kurt Vonnegut]
-
A.
Kurt Vonnegut
chosen
Kurt Vonnegut was an American novelist and satirist known for his darkly humorous, genre-blending works such as "Slaughterhouse-Five" and "Cat's Cradle."
-
B.
Mark Vonnegut
Mark Vonnegut is an American pediatrician and memoirist known for writing about his experiences with mental illness and for being the son of author Kurt Vonnegut.
-
C.
Donald Barthelme
Donald Barthelme was an American postmodern short story writer and novelist known for his experimental, fragmentary style and darkly comic, metafictional narratives.
-
D.
Donald Barthelme Sr.
Donald Barthelme Sr. was an American modernist architect known for his influential public and institutional designs in Texas during the mid-20th century.
-
E.
Joseph Heller
Joseph Heller was an American novelist and satirist best known for his darkly comic World War II novel "Catch-22."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462cae6481908d3e7f71683d8921 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.