Triple

T9257350
Position Surface form Disambiguated ID Type / Status
Subject Flora Nolan E222477 entity
Predicate parentNotableWork P40160 FINISHED
Object Inception E26277 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: Inception | Statement: [Flora Nolan, parentNotableWork, Inception]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inception
Context triple: [Flora Nolan, parentNotableWork, Inception]
  • A. Inception chosen
    Inception is a 2010 science fiction heist film directed by Christopher Nolan that explores dream manipulation and shared subconscious worlds.
  • B. Inception v1
    Inception v1 is the original version of Google’s Inception deep convolutional neural network architecture, introduced for efficient and accurate image classification in the 2014 GoogLeNet model.
  • C. Memento
    Memento is a 2000 neo-noir psychological thriller film written and directed by Christopher Nolan, renowned for its non-linear narrative structure that explores memory, identity, and perception.
  • D. Memento
    Memento is a behavioral design pattern that captures and externalizes an object's internal state so it can be restored later without violating encapsulation.
  • E. Inception v2
    Inception v2 is an improved version of Google’s Inception convolutional neural network architecture that enhances accuracy and efficiency through refined module design and training techniques.
  • 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: parentNotableWork
Context triple: [Flora Nolan, parentNotableWork, Inception]
  • A. hasFatherNotableWork chosen
    Indicates that a person's father is associated with a specific notable work or achievement.
  • B. notableWork
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • C. notableWorkWith
    Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
  • D. notableWorkIn
    Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
  • E. notableWorkSubject
    Indicates that a work is notably associated with a particular subject, such as a person, topic, or entity, as its primary focus or theme.
  • F. None of above.

Provenance (4 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b660448190b6bc04beff0f5512 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09be75fd88190b6e99b0884dcc14c completed April 4, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69cc7a4e79e48190b3200247f4624867 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:32 p.m.