Triple

T16164138
Position Surface form Disambiguated ID Type / Status
Subject The Dogs of War (film) E392255 entity
Predicate screenwriter P2831 FINISHED
Object George Malko E392255 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: George Malko | Statement: [The Dogs of War (film), screenwriter, George Malko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Malko
Context triple: [The Dogs of War (film), screenwriter, George Malko]
  • A. George Malko chosen
    George Malko is a screenwriter best known for his work on the film adaptation of Frederick Forsyth’s political thriller "The Dogs of War."
  • B. Richard Hannay
    Richard Hannay is the resourceful gentleman-hero and amateur spy who becomes entangled in international intrigue in John Buchan’s classic adventure novel "The 39 Steps."
  • C. Peter Guillam
    Peter Guillam is a loyal, resourceful British intelligence officer and close ally of spymaster George Smiley in John le Carré’s espionage novels.
  • D. Raymond Shaw
    Raymond Shaw is the brainwashed Korean War veteran and Medal of Honor recipient whose programmed assassination role drives the political thriller plot of "The Manchurian Candidate."
  • E. John Archer
    John Archer was an American film and television actor active from the 1930s to the 1970s, known for his roles in a variety of Hollywood productions.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e622ae481909f3cf25b38886d3a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b69adc8190ba90d68acaaca509 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.