Triple
T11754203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch-22 |
E279483
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Joseph Heller |
E676302
|
NE FINISHED |
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: Joseph Heller | Statement: [Catch-22, author, Joseph Heller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Heller Context triple: [Catch-22, author, Joseph Heller]
-
A.
Joseph Heller
chosen
Joseph Heller was an American novelist and satirist best known for his darkly comic World War II novel "Catch-22."
-
B.
Philip Roth
Philip Roth was a prominent American novelist known for his incisive, often controversial explorations of Jewish-American identity, sexuality, and modern life in works such as "Portnoy’s Complaint" and the "Zuckerman" series.
-
C.
Kurt Vonnegut
Kurt Vonnegut was an American novelist and satirist known for his darkly humorous, genre-blending works such as "Slaughterhouse-Five" and "Cat's Cradle."
-
D.
Herman Blume
Herman Blume is a disillusioned industrialist who befriends an eccentric teenager and becomes his rival in Wes Anderson’s film "Rushmore."
-
E.
William Gaddis
William Gaddis was an American postmodern novelist known for his dense, allusive, and formally experimental works such as "The Recognitions" and "JR."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50b8a14819092a7397d73f0a8e3 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a21559c819097d0287dd8e2f411 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.