Triple

T17101292
Position Surface form Disambiguated ID Type / Status
Subject The Little Sister E414985 entity
Predicate hasAdaptation P1690 FINISHED
Object Marlowe (1969 film) E625183 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 (1969 film) | Statement: [The Little Sister, hasAdaptation, Marlowe (1969 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlowe (1969 film)
Context triple: [The Little Sister, hasAdaptation, Marlowe (1969 film)]
  • A. Marlowe (1969 film) chosen
    Marlowe (1969 film) is a 1969 neo-noir crime drama directed by Paul Bogart, adapting Raymond Chandler’s private detective Philip Marlowe for the screen.
  • B. 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."
  • C. Marlowe
    Marlowe is an unincorporated community located in Berkeley County, West Virginia, known for its rural setting near the Potomac River.
  • D. Marlowe
    Marlowe is a feminine given name that has gained popularity in recent years, often chosen for its literary and sophisticated sound.
  • E. Witchfinder General
    Witchfinder General is a 1968 British horror film, starring Vincent Price and set during the English Civil War, that follows a ruthless witch hunter exploiting mass hysteria for personal gain.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fdda488190a1ca5c7ca875e044 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.