Triple

T19297201
Position Surface form Disambiguated ID Type / Status
Subject The Plague of Doves E482595 entity
Predicate imprint P2763 FINISHED
Object Harper 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: Harper | Statement: [The Plague of Doves, imprint, Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harper
Context triple: [The Plague of Doves, imprint, Harper]
  • A. Harper
    "Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
  • B. Harper chosen
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • C. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • D. Harper
    Harper is a common English surname of Anglo-Saxon origin, historically referring to someone who played the harp.
  • E. Harper
    Harper is a feminine given name of English origin that has become popular in recent years, often associated with literary and musical connotations.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc85e8988190a98bc291121f0153 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.