Triple

T15356591
Position Surface form Disambiguated ID Type / Status
Subject The Lego Movie Videogame E367180 entity
Predicate playableCharacter P43877 FINISHED
Object MetalBeard E1026320 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: MetalBeard | Statement: [The Lego Movie Videogame, playableCharacter, MetalBeard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MetalBeard
Context triple: [The Lego Movie Videogame, playableCharacter, MetalBeard]
  • A. MetalBeard chosen
    MetalBeard is a pirate-themed Master Builder made of mismatched metal parts in *The LEGO Movie* franchise.
  • B. Stickybeard
    Stickybeard is a candy-obsessed pirate villain from the animated series "Codename: Kids Next Door," known for raiding sweets and battling the show's child operatives.
  • C. Stiffbeards
    The Stiffbeards are one of the lesser-known Dwarven clans in J.R.R. Tolkien’s Middle-earth legendarium, mentioned among the various houses of the Dwarves.
  • D. Mr Beast
    Mr Beast is a 2006 studio album by the Scottish post-rock band Mogwai, noted for its dynamic contrasts and atmospheric guitar-driven soundscapes.
  • E. Red Beard
    Red Beard is a 1965 Japanese period drama film directed by Akira Kurosawa, renowned for its humanistic portrayal of a gruff yet compassionate doctor mentoring a young physician in an Edo-era clinic.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff020244e881909c1d1c295dc82e49 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.