Triple

T20821037
Position Surface form Disambiguated ID Type / Status
Subject Tim Headington E512572 entity
Predicate notableWork P4 FINISHED
Object Hugo Cabret (film adaptation support) NE NERFINISHED

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: Hugo Cabret (film adaptation support) | Statement: [Tim Headington, notableWork, Hugo Cabret (film adaptation support)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Cabret (film adaptation support)
Context triple: [Tim Headington, notableWork, Hugo Cabret (film adaptation support)]
  • A. Hugo
    Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • B. Hugo
    Hugo is a tragic young character from the manga series "Gunnm" (also known as "Battle Angel Alita"), whose dreams of reaching the floating city Zalem drive much of the early emotional narrative.
  • C. Hugo
    Hugo is a melodic rock/AOR band fronted by vocalist Hugo Valenti, known for its classic Journey-inspired sound.
  • D. Hugo
    Hugo is a fast, open-source static site generator written in Go, widely used for building blogs and documentation websites.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f7a1548190b6ef3f1cfad37c1c completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.