Triple

T12377529
Position Surface form Disambiguated ID Type / Status
Subject Huygens E295162 entity
Predicate derivedFromGivenName P17 FINISHED
Object Hugo E37442 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: Hugo | Statement: [Huygens, derivedFromGivenName, Hugo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo
Context triple: [Huygens, derivedFromGivenName, Hugo]
  • A. Hugo chosen
    Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • B. Hugo
    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. Hugo and the Impossible Thing
    "Hugo and the Impossible Thing" is a children's picture book that follows a determined little dog who inspires his forest friends to tackle a seemingly impossible challenge through courage and teamwork.
  • D. Der Riese
    Der Riese is a fan-favorite Nazi Zombies map in Call of Duty: World at War, known for introducing the Pack-a-Punch machine and teleporters.
  • E. 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.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fb8d6c081909e8bbbd52c73f29c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac3c9f081909cd55f966ab6b465 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.