Triple

T16423571
Position Surface form Disambiguated ID Type / Status
Subject Luther Dixon E398882 entity
Predicate notableWork P4 FINISHED
Object Soldier Boy E821759 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: Soldier Boy | Statement: [Luther Dixon, notableWork, Soldier Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soldier Boy
Context triple: [Luther Dixon, notableWork, Soldier Boy]
  • A. Soldier Boy chosen
    Soldier Boy is a superpowered, morally ambiguous parody of patriotic comic-book heroes in the television series "The Boys."
  • B. Die Soldaten
    Die Soldaten is a seminal 18th-century German play by Jakob Michael Reinhold Lenz that portrays the moral decay and social consequences of militarism and class oppression.
  • C. Soldier Blue
    Soldier Blue is a 1970 American Western film known for its graphic depiction of violence and its critical portrayal of the U.S. Cavalry’s treatment of Native Americans.
  • D. The Toy Soldier
    The Toy Soldier is a themed retail shop in the United Kingdom Pavilion at EPCOT, known for selling British- and Disney-inspired toys and souvenirs.
  • E. El Sargento
    El Sargento is a small coastal village in Baja California Sur, Mexico, known for its beaches, kiteboarding, and proximity to La Ventana on the Sea of Cortez.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f911b88190b19de52a1f700af8 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c70aaa08190bf88210c0b491fc1 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.