Triple

T13207255
Position Surface form Disambiguated ID Type / Status
Subject Pete Postlethwaite E314395 entity
Predicate knownFor P22 FINISHED
Object Inception E26277 NE FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.

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: [Pete Postlethwaite, knownFor, Inception]

Disambiguation candidates (1 decision)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inception
Context triple: [Pete Postlethwaite, knownFor, 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.

Provenance (3 batches)

Stage Batch ID Job type Status
creating batch_69d806aee7308190b70a237ba2a6e3e1 elicitation completed
NER batch_69d98c9cb7ac819095cff8699993c419 ner completed
NED1 batch_69f6ff1c9f348190aae39073bdcee84d ned_source_triple completed
Created at: April 9, 2026, 9:17 p.m.