Triple

T13100013
Position Surface form Disambiguated ID Type / Status
Subject Hugo Wilson Dallas E310693 entity
Predicate givenName 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: [Hugo Wilson Dallas, givenName, Hugo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo
Context triple: [Hugo Wilson Dallas, givenName, 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
    HUGO is a contemporary fashion line by Hugo Boss known for its modern, trend-driven clothing and accessories aimed at a younger, style-conscious audience.
  • D. 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.
  • E. The Giant
    The Giant is a mysterious, otherworldly figure who appears in visions to FBI Agent Dale Cooper in David Lynch’s cult television series "Twin Peaks," offering cryptic clues about the town’s dark secrets.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.