Triple

T13257514
Position Surface form Disambiguated ID Type / Status
Subject Evan Rachel Wood E315696 entity
Predicate performedIn P795 FINISHED
Object Across the Universe E557293 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: Across the Universe | Statement: [Evan Rachel Wood, performedIn, Across the Universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Across the Universe
Context triple: [Evan Rachel Wood, performedIn, Across the Universe]
  • A. Across the Universe chosen
    Across the Universe is a 2007 musical romantic drama film that weaves a love story through imaginative, visually rich sequences set to songs by The Beatles.
  • B. Starboy
    "Starboy" is a 2016 hit single by The Weeknd featuring Daft Punk, known for its dark, moody production and exploration of fame and identity.
  • C. Starboy
    Starboy is the popular stage name and persona of Nigerian Afrobeats singer and songwriter Wizkid, under which he has released several hit songs and projects.
  • D. Somewhere
    "Somewhere" is a track by the American rock band Soundgarden from their influential 1991 album *Badmotorfinger*.
  • E. Somewhere
    "Somewhere" is a stage play by American playwright Matthew López that explores themes of family, ambition, and the pursuit of dreams against the backdrop of mid-20th-century New York City.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c90c5c8190a6de94b92db12210 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.