Triple

T20403140
Position Surface form Disambiguated ID Type / Status
Subject Killer Force E500388 entity
Predicate director P255 FINISHED
Object Val Guest 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: Val Guest | Statement: [Killer Force, director, Val Guest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Guest
Context triple: [Killer Force, director, Val Guest]
  • A. Val Guest chosen
    Val Guest was a British film director and screenwriter best known for his influential work in mid-20th-century genre cinema, including science fiction and horror.
  • B. Brian Trenchard-Smith
    Brian Trenchard-Smith is an Australian film director known for his energetic, stunt-driven action and cult exploitation films, particularly from the 1970s and 1980s.
  • C. Nigel Dick
    Nigel Dick is a British-born music video and film director known for creating iconic videos for major artists across pop and rock music.
  • D. Stan Hilditch
    Stan Hilditch was an Australian prospector and geologist known for his pivotal role in discovering major iron ore deposits in Western Australia.
  • E. Dudley Simpson
    Dudley Simpson was an Australian composer best known for his prolific and influential music scores for the classic British science fiction television series Doctor Who.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799080cc819096dc31f41d1d7b49 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.