Triple

T20297845
Position Surface form Disambiguated ID Type / Status
Subject Ophelia (2018 film) E505398 entity
Predicate characterIn P12208 FINISHED
Object Ophelia NE NERFINISHED

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: Ophelia | Statement: [Ophelia (2018 film), characterIn, Ophelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ophelia
Context triple: [Ophelia (2018 film), characterIn, Ophelia]
  • A. Ophelia
    Ophelia is a famous 1851–52 painting by John Everett Millais, emblematic of the Pre-Raphaelite movement and depicting Shakespeare’s tragic heroine floating in a stream surrounded by lush, detailed flora.
  • B. Ophelia
    Ophelia is a savvy and resourceful sex worker in the 1983 comedy film "Trading Places," who helps the protagonist navigate his sudden reversal of fortune.
  • C. Ophelia
    "Ophelia" is a lively, horn-driven roots rock song by The Band, sung by drummer Levon Helm and featured on their 1975 album *Northern Lights – Southern Cross*.
  • D. Ophelia
    Ophelia is a skilled Russian spy and femme fatale who serves as one of the main antagonists in the comedy film "Johnny English Strikes Again."
  • E. Ophelia chosen
    Ophelia is a 2018 historical drama film that reimagines Shakespeare’s Hamlet from Ophelia’s perspective, starring Daisy Ridley and George MacKay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677095fb481909806214da4002b59 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.