Triple

T11499563
Position Surface form Disambiguated ID Type / Status
Subject Jean Toomer E272627 entity
Predicate notableWork P4 FINISHED
Object Cane E53515 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: Cane | Statement: [Jean Toomer, notableWork, Cane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cane
Context triple: [Jean Toomer, notableWork, Cane]
  • A. Cane chosen
    Cane is a groundbreaking 1923 modernist work by Jean Toomer that blends poetry, prose, and drama to depict African American life in the rural South and urban North, and is considered a seminal text of the Harlem Renaissance.
  • B. Cane Pace
    Cane Pace is a prestigious harness racing event for pacers that forms part of the sport’s Triple Crown series.
  • C. Canes
    Canes is the nickname commonly used for the University of Miami’s athletic teams, short for the Hurricanes.
  • D. Captain Cane
    Captain Cane is the costumed superhero-style mascot who represents the University of Tulsa Golden Hurricane athletic teams at games and events.
  • E. Old Tige
    Old Tige was the nickname of William L. Cabell, a Confederate general who later became a prominent postwar civic leader and mayor of Dallas, Texas.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86853e088190a9c1378aad45fa18 completed April 26, 2026, 9:41 p.m.
Created at: April 8, 2026, 9:36 p.m.