Triple

T10120709
Position Surface form Disambiguated ID Type / Status
Subject Kaye Brinker E223279 entity
Predicate spouse P13 FINISHED
Object Hugh Marlowe E21702 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: Hugh Marlowe | Statement: [Kaye Brinker, spouse, Hugh Marlowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Marlowe
Context triple: [Kaye Brinker, spouse, Hugh Marlowe]
  • A. Hugh Marlowe chosen
    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.
  • B. Christopher Marlowe
    Christopher Marlowe was a pioneering Elizabethan playwright and poet whose works, including "Doctor Faustus" and "Tamburlaine," helped shape the development of English Renaissance drama.
  • C. 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."
  • D. Francis Kyd
    Francis Kyd was the father of the Elizabethan dramatist Thomas Kyd, likely a London-based scrivener or tradesman in the late 16th century.
  • E. Thomas Kyd
    Thomas Kyd was a pioneering English Renaissance dramatist best known for his highly influential revenge tragedy "The Spanish Tragedy."
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd266b18c8190b35fe637c912e756 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc3eb9cc81909546657ff86c87d8 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:04 p.m.