Triple

T16123949
Position Surface form Disambiguated ID Type / Status
Subject Nathan Bateman E391216 entity
Predicate creatorOf P806 FINISHED
Object Ava
Ava is a highly advanced humanoid artificial intelligence featured in the science fiction film "Ex Machina."
E1195979 NE FINISHED

How this triple was built (4 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: [Nathan Bateman, creatorOf, Ava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ava
Context triple: [Nathan Bateman, creatorOf, 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
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • C. 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.
  • D. Ava Quinn
    Ava Quinn is known as one of the children of American actor Aidan Quinn.
  • E. Arielle
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ava
Triple: [Nathan Bateman, creatorOf, Ava]
Generated description
Ava is a highly advanced humanoid artificial intelligence featured in the science fiction film "Ex Machina."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ava
Target entity description: Ava is a highly advanced humanoid artificial intelligence featured in the science fiction film "Ex Machina."
  • A. Ava
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • B. 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.
  • C. 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.
  • D. Ava Quinn
    Ava Quinn is known as one of the children of American actor Aidan Quinn.
  • E. Arielle
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020342988190add65c784b8ee179 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a9db848190bafb959bd7511246 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b375d48190a958b34c5df5c5f1 completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff447e1248190a3a1386946172429 completed May 10, 2026, 2:58 a.m.
Created at: April 10, 2026, 5 a.m.