Triple

T12400885
Position Surface form Disambiguated ID Type / Status
Subject Fay Compton E296248 entity
Predicate notableRole P22 FINISHED
Object Ophelia in Hamlet E250251 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: Ophelia in Hamlet | Statement: [Fay Compton, notableRole, Ophelia in Hamlet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ophelia in Hamlet
Context triple: [Fay Compton, notableRole, Ophelia in Hamlet]
  • A. 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*.
  • B. Ophelia
    Ophelia is a famous 1894 Pre-Raphaelite painting by John William Waterhouse depicting the tragic Shakespearean heroine from Hamlet.
  • C. Ophelia chosen
    Ophelia is a fictional character best known as the tragic, doomed heroine of William Shakespeare’s play "Hamlet."
  • D. 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.
  • E. 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.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63482af8c8190b277b36371979f5e completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.