Triple

T23162084
Position Surface form Disambiguated ID Type / Status
Subject Goon: Last of the Enforcers E578612 entity
Predicate character P662 FINISHED
Object Eva 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: Eva | Statement: [Goon: Last of the Enforcers, character, Eva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva
Context triple: [Goon: Last of the Enforcers, character, Eva]
  • A. Eva chosen
    Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
  • B. Eva
    Eva is a 1962 psychological drama film directed by Joseph Losey, known for its intense character study and atmospheric European setting.
  • C. Evelyn
    Evelyn is a 2002 Irish drama film directed by Bruce Beresford, based on a true story about a father's legal battle to regain custody of his children.
  • D. Evelyn
    Evelyn is the given first name of Billie Frechette, the Native American woman known for her association with bank robber John Dillinger during the 1930s.
  • E. Evelyn
    Evelyn is a given name shared by G. Evelyn Hutchinson, a prominent 20th-century British-born American ecologist often called the "father of modern ecology."
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f019cd881908e3c68d99454da2a completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.