Triple

T6959833
Position Surface form Disambiguated ID Type / Status
Subject Stephen Dorff E161341 entity
Predicate notableWork P4 FINISHED
Object Somewhere E380632 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: Somewhere | Statement: [Stephen Dorff, notableWork, Somewhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somewhere
Context triple: [Stephen Dorff, notableWork, Somewhere]
  • A. Somewhere
    "Somewhere" is a poignant ballad from the musical West Side Story that expresses a longing for a peaceful place where love can transcend conflict and prejudice.
  • B. Somewhere chosen
    Somewhere is a 2010 introspective drama film written and directed by Sofia Coppola that follows a disaffected Hollywood actor reconnecting with his young daughter.
  • C. Somewhere
    "Somewhere" is a track by the American rock band Soundgarden from their influential 1991 album *Badmotorfinger*.
  • D. Somewhere Out There
    "Somewhere Out There" is a popular 1986 pop ballad and duet from the animated film *An American Tail*, widely recognized for its emotional theme of longing and reunion.
  • E. Somebody Somewhere
    "Somebody Somewhere" is a romantic ballad from the 1956 Broadway musical *The Most Happy Fella*, known for its lyrical expression of longing and hope for love.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.