Triple

T22798852
Position Surface form Disambiguated ID Type / Status
Subject Francis Kyd E564325 entity
Predicate name P16 FINISHED
Object Francis Kyd — 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: Francis Kyd | Statement: [Francis Kyd, name, Francis Kyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francis Kyd
Context triple: [Francis Kyd, name, Francis Kyd]
  • A. Francis Kyd chosen
    Francis Kyd was the father of the Elizabethan dramatist Thomas Kyd, likely a London-based scrivener or tradesman in the late 16th century.
  • B. Phineas Fletcher
    Phineas Fletcher was a 17th-century English poet and clergyman best known for his allegorical religious and pastoral works, including "The Purple Island."
  • C. Thomas Kyd
    Thomas Kyd was a pioneering English Renaissance dramatist best known for his highly influential revenge tragedy "The Spanish Tragedy."
  • D. 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.
  • E. Marlowe
    Marlowe is a feminine given name that has gained popularity in recent years, often chosen for its literary and sophisticated sound.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdb6ba48190936bd356704c1241 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:31 p.m.