Triple
T21298121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Bloom |
E524981
|
entity |
| Predicate | workOfFiction |
P15757
|
FINISHED |
| Object | Ulysses |
—
|
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: Ulysses | Statement: [Marion Bloom, workOfFiction, Ulysses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulysses Context triple: [Marion Bloom, workOfFiction, Ulysses]
-
A.
Ulysses
Ulysses is a masculine given name most famously associated with the 18th U.S. president and Civil War general Ulysses S. Grant.
-
B.
Ulysses
Ulysses is a small town in Tompkins County, New York, known for its rural character and proximity to Cayuga Lake and the Finger Lakes region.
-
C.
Ulysses
"Ulysses" is a dramatic monologue poem by Alfred, Lord Tennyson that reflects on aging, heroism, and the restless desire for continued adventure and purpose.
-
D.
Ulysses
Ulysses is the Latin name for Odysseus, the legendary Greek hero of Homer’s epics known for his cunning and long, perilous journey home after the Trojan War.
-
E.
Ulysses
chosen
Ulysses is James Joyce’s landmark modernist novel that chronicles a single day in Dublin through the stream-of-consciousness experiences of characters including Leopold Bloom.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.