Triple

T6204950
Position Surface form Disambiguated ID Type / Status
Subject Hugo E138723 entity
Predicate basedOn P98 FINISHED
Object The Invention of Hugo Cabret E138723 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: The Invention of Hugo Cabret | Statement: [Hugo, basedOn, The Invention of Hugo Cabret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Invention of Hugo Cabret
Context triple: [Hugo, basedOn, The Invention of Hugo Cabret]
  • A. Hugo
    Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • B. Hugo chosen
    Hugo is a 2011 fantasy adventure film directed by Martin Scorsese, acclaimed for its innovative use of 3D and its homage to early cinema and filmmaker Georges Méliès.
  • C. Wonderstruck
    Wonderstruck is a 2017 drama film directed by Todd Haynes that intertwines the stories of two deaf children living in different eras who are mysteriously connected.
  • D. The Wonder
    The Wonder is a psychological period drama film in which Florence Pugh plays an English nurse sent to investigate a young Irish girl who appears to survive without eating.
  • E. Extremely Loud & Incredibly Close
    Extremely Loud & Incredibly Close is a drama film adaptation of Jonathan Safran Foer’s novel, following a young boy’s emotional journey through New York City after losing his father in the 9/11 attacks.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626d96ec8190816c00c44668177d completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f412d848190a8e78ad7822aa399 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.