Triple

T15752520
Position Surface form Disambiguated ID Type / Status
Subject The Nutcracker and the Four Realms E381880 entity
Predicate cinematographer P1953 FINISHED
Object Linus Sandgren E221279 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: Linus Sandgren | Statement: [The Nutcracker and the Four Realms, cinematographer, Linus Sandgren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linus Sandgren
Context triple: [The Nutcracker and the Four Realms, cinematographer, Linus Sandgren]
  • A. Linus Sandgren chosen
    Linus Sandgren is an Academy Award–winning Swedish cinematographer known for his visually distinctive work on films such as La La Land, First Man, and American Hustle.
  • B. Mikael Andersson
    Mikael Andersson is a Swedish ice hockey player best known for his significant contributions to the Malmö Redhawks organization.
  • C. Mattias Larsson
    Mattias Larsson is a Swedish songwriter and producer known for co-writing major pop hits for artists such as Selena Gomez.
  • D. Niklas Sundström
    Niklas Sundström is a Swedish former professional ice hockey forward who played in the NHL and represented Sweden internationally, known for his strong two-way play.
  • E. Jonas Karlsson
    Jonas Karlsson is a Swedish actor and writer known for his work in Scandinavian film and television as well as international productions.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876f005c8190913dec49b839b9f9 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.