Triple

T8924974
Position Surface form Disambiguated ID Type / Status
Subject Lucan’s Pharsalia E212516 entity
Predicate influenced P9 FINISHED
Object Christopher Marlowe E131846 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: Christopher Marlowe | Statement: [Lucan’s Pharsalia, influenced, Christopher Marlowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Marlowe
Context triple: [Lucan’s Pharsalia, influenced, Christopher Marlowe]
  • A. Christopher Marlowe chosen
    Christopher Marlowe was a pioneering Elizabethan playwright and poet whose works, including "Doctor Faustus" and "Tamburlaine," helped shape the development of English Renaissance drama.
  • B. Hugh Marlowe
    Hugh Marlowe was an American film, television, and stage actor best known for his roles in classic mid-20th-century movies and popular TV series.
  • C. Thomas Kyd
    Thomas Kyd was a pioneering English Renaissance dramatist best known for his highly influential revenge tragedy "The Spanish Tragedy."
  • D. Marlowe
    Marlowe is a neo-noir crime thriller film centered on the iconic private detective Philip Marlowe, adapted from John Banville’s novel "The Black-Eyed Blonde."
  • E. John Webster
    John Webster was a prominent Jacobean dramatist best known for his dark, complex tragedies such as "The Duchess of Malfi" and "The White Devil."
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66547de881909ea9bfd104b32893 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba58e9ec81909141c516d05ac790 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.