Triple
T11754229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch-22 |
E279483
|
entity |
| Predicate | notableConcept |
P201
|
FINISHED |
| Object | catch-22 |
E279483
|
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: catch-22 | Statement: [Catch-22, notableConcept, catch-22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: catch-22 Context triple: [Catch-22, notableConcept, catch-22]
-
A.
Catch-22
chosen
Catch-22 is Joseph Heller’s satirical World War II novel that coined the term “catch-22” to describe absurd, self-contradictory bureaucratic rules and no-win situations.
-
B.
Heller
Heller is a surname shared by various notable individuals across fields such as film, literature, science, and politics.
-
C.
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
D.
War Cripples
War Cripples is a powerful anti-war painting by German artist Otto Dix that depicts the brutal physical and psychological toll of World War I on disabled veterans.
-
E.
Snafu
Snafu is the nickname of Merriel Shelton, a U.S. Marine famously portrayed in the World War II miniseries "The Pacific."
- 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.