Triple

T13796490
Position Surface form Disambiguated ID Type / Status
Subject The Mercenary E331530 entity
Predicate title P38 FINISHED
Object The Mercenary E331530 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: The Mercenary | Statement: [The Mercenary, title, The Mercenary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mercenary
Context triple: [The Mercenary, title, The Mercenary]
  • A. The Mercenary chosen
    The Mercenary is a 1968 Spaghetti Western film directed by Sergio Corbucci, known for its blend of political themes, stylized violence, and Franco Nero’s iconic gunslinger performance.
  • B. 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.
  • C. Soldier of Fortune
    Soldier of Fortune is a first-person shooter video game known for its realistic, graphic depiction of modern combat and mercenary warfare.
  • D. 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.
  • E. 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.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025be1f08190aac525d72d7dc0c3 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08508688190b7e8c33e6b65e25d completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.