Triple

T11136390
Position Surface form Disambiguated ID Type / Status
Subject Eva Green E263424 entity
Predicate givenName P17 FINISHED
Object Eva E93610 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: Eva | Statement: [Eva Green, givenName, Eva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva
Context triple: [Eva Green, givenName, 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. 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.
  • C. 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."
  • D. Evelyn
    Evelyn, known formally as Lady Byng of Vimy, was a prominent British-born viceregal consort of Canada and namesake of the NHL’s Lady Byng Memorial Trophy.
  • E. Eva Peace
    Eva Peace is a fiercely independent, sharp-tongued matriarch in Toni Morrison’s novel "Sula," known for her unconventional life, physical disability, and complex relationship with her children and community.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.