Triple

T16779430
Position Surface form Disambiguated ID Type / Status
Subject Oscar Isaac as Nathan Bateman E407817 entity
Predicate testsInFiction P124602 FINISHED
Object Ava E1195979 NE FINISHED

How this triple was built (3 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: Ava | Statement: [Oscar Isaac as Nathan Bateman, testsInFiction, Ava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ava
Context triple: [Oscar Isaac as Nathan Bateman, testsInFiction, Ava]
  • A. Ava
    Ava was a prominent historical city and royal capital in Upper Burma (now Myanmar), serving as a major political and cultural center for several Burmese kingdoms.
  • B. Ava chosen
    Ava is a highly advanced humanoid artificial intelligence featured in the science fiction film "Ex Machina."
  • C. Ava
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • D. Ava Alexander
    Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
  • E. Ava Leigh
    Ava Leigh is a British reggae-pop singer known for her soulful vocals and modern take on lovers rock.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testsInFiction
Context triple: [Oscar Isaac as Nathan Bateman, testsInFiction, Ava]
  • A. workInFiction
    Indicates that one entity is a fictional work in which the other entity appears or is set.
  • B. hasFictionComponent
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • C. languageWithinFiction
    Indicates that a language is used or exists within the context of a fictional work or fictional universe.
  • D. fictionalFocus
    Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
  • E. hasFeatureInFiction
    Indicates that a fictional work includes or portrays a particular feature, trait, or characteristic.
  • F. None of above. chosen

Provenance (5 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21401b881909bbbc7382e851a90 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b287a96c8190a16d7c76d05be106 completed May 10, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69e319cf691c819083e39225f5777ef0 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326bac94481908c082117553320f8 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:22 a.m.