Triple

T4307979
Position Surface form Disambiguated ID Type / Status
Subject The Human Comedy E94001 entity
Predicate protagonistName P29319 FINISHED
Object Homer Macauley E435332 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: Homer Macauley | Statement: [The Human Comedy, protagonistName, Homer Macauley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Homer Macauley
Context triple: [The Human Comedy, protagonistName, Homer Macauley]
  • A. Homer Macauley chosen
    Homer Macauley is the teenage telegraph messenger protagonist of William Saroyan’s novel "The Human Comedy," whose experiences reflect small-town American life during World War II.
  • B. Horace Cleveland
    Horace Cleveland was a prominent 19th-century American landscape architect known for designing parks, cemeteries, and urban green spaces across the United States.
  • C. Horace Walker
    Horace Walker was a 19th-century British mountaineer known for pioneering ascents in the Alps and the Caucasus.
  • D. George Hively
    George Hively was an American film editor and screenwriter active during the early 20th century, known for his work in Hollywood studio productions.
  • E. Johnston McCulley
    Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d2af088190ad7cb035d6e0f8c2 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b650abb8ec8190afb55dc0091f8415 completed March 15, 2026, 6:24 a.m.
Created at: March 12, 2026, 11:11 p.m.