Triple

T19317447
Position Surface form Disambiguated ID Type / Status
Subject Ormond Hotel episode in Ulysses E483135 entity
Predicate partOf P40 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: [Ormond Hotel episode in Ulysses, partOf, Ulysses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulysses
Context triple: [Ormond Hotel episode in Ulysses, partOf, Ulysses]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Ulysses
    Ulysses is a masculine given name most famously associated with the 18th U.S. president and Civil War general Ulysses S. Grant.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d85046c81909d972a6b369b0c2b completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.