Triple

T12222384
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Braun E291249 entity
Predicate appearedIn P795 FINISHED
Object Sky High E409581 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: Sky High | Statement: [Nicholas Braun, appearedIn, Sky High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky High
Context triple: [Nicholas Braun, appearedIn, Sky High]
  • A. Sky High chosen
    Sky High is a 2005 family-friendly superhero comedy film about a high school for teenage heroes, starring Kurt Russell.
  • B. So High School
    "So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
  • C. Kooley High
    Kooley High is a North Carolina-based hip hop group known for its soulful, jazz-influenced sound and for helping launch the career of rapper Rapsody.
  • D. Down High School
    Down High School is a co-educational grammar school in Downpatrick, Northern Ireland, known for its strong academic performance and long-established history in the region.
  • E. City High
    City High was an American R&B/hip-hop soul trio best known for their early-2000s hit "What Would You Do?" and their socially conscious lyrics.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.