Triple

T18401080
Position Surface form Disambiguated ID Type / Status
Subject Universal Soldier (1971 film) E449995 entity
Predicate hasMainCharacter P1183 FINISHED
Object Ryker 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: Ryker | Statement: [Universal Soldier (1971 film), hasMainCharacter, Ryker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryker
Context triple: [Universal Soldier (1971 film), hasMainCharacter, Ryker]
  • A. Ryker chosen
    Ryker is a modern masculine given name, often considered a variant of Riker, that has gained popularity in English-speaking countries.
  • B. Rykove
    Rykove is a former name of the industrial city now known as Yenakiieve in eastern Ukraine.
  • C. Gusarchay
    Gusarchay is a river in northeastern Azerbaijan that flows through the Gusar District in the Greater Caucasus region.
  • D. Ritter
    Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
  • E. Ritter
    Ritter is a small lunar impact crater located on the western edge of Mare Tranquillitatis on the Moon.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195185b08190bd3b5471cdc047b0 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.