Triple

T20409787
Position Surface form Disambiguated ID Type / Status
Subject Avonmore E500557 entity
Predicate hasTrack P3284 FINISHED
Object Soldier of Fortune 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: Soldier of Fortune | Statement: [Avonmore, hasTrack, Soldier of Fortune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soldier of Fortune
Context triple: [Avonmore, hasTrack, Soldier of Fortune]
  • A. Soldier of Fortune chosen
    Soldier of Fortune is a first-person shooter video game known for its realistic, graphic depiction of modern combat and mercenary warfare.
  • B. Soldiers of Fortune
    Soldiers of Fortune is an 1897 adventure novel by American writer Richard Harding Davis, centered on political intrigue and revolution in a fictional Latin American country.
  • C. Soldiers of Fortune
    Soldiers of Fortune is a 2012 action-adventure film about wealthy thrill-seekers who pay to participate in a real military mission, starring actors including Dominic Monaghan.
  • D. The Mercenaries
    The Mercenaries is a 1968 British adventure film (also known as Dark of the Sun) about a group of soldiers of fortune on a perilous mission in the Congo.
  • E. Mercenary
    "Mercenary" is a science fiction novel by Piers Anthony, set in his Cluster universe and following a professional soldier navigating interstellar politics and warfare.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3e0c1c8190be39d7f09c839dfa completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.