Triple
T18096033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Drum (SS-228) |
E433087
|
entity |
| Predicate | class |
P87
|
FINISHED |
| Object | Gato class |
—
|
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: Gato class | Statement: [USS Drum (SS-228), class, Gato class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gato class Context triple: [USS Drum (SS-228), class, Gato class]
-
A.
Gato class
chosen
The Gato class was a World War II-era class of U.S. Navy diesel-electric submarines that formed the backbone of the American undersea fleet in the Pacific.
-
B.
Gato
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
-
C.
Gatti
Gatti is an Italian surname shared by various notable individuals, including conductor Daniele Gatti.
-
D.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
E.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1c56848190be0b8c80b30dba6c |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.