Triple

T9329177
Position Surface form Disambiguated ID Type / Status
Subject Philip H. Lathrop E224471 entity
Predicate notableWork P4 FINISHED
Object Marlowe E748985 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: Marlowe | Statement: [Philip H. Lathrop, notableWork, Marlowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlowe
Context triple: [Philip H. Lathrop, notableWork, Marlowe]
  • A. Marlowe chosen
    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."
  • 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. 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.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.