Triple

T3285282
Position Surface form Disambiguated ID Type / Status
Subject Captain Vidal E68964 entity
Predicate antagonistTo P18963 FINISHED
Object Ofelia E68963 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: Ofelia | Statement: [Captain Vidal, antagonistTo, Ofelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ofelia
Context triple: [Captain Vidal, antagonistTo, Ofelia]
  • A. Ofelia chosen
    Ofelia is the imaginative young girl in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth," whose encounters with mythical creatures mirror the brutal realities of post–Civil War Spain.
  • B. 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.
  • C. Ophelia
    Ophelia is a famous 1894 Pre-Raphaelite painting by John William Waterhouse depicting the tragic Shakespearean heroine from Hamlet.
  • D. 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.
  • E. Ophelia
    Ophelia is a fictional character best known as the tragic, doomed heroine of William Shakespeare’s play "Hamlet."
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03918c48190987d7cfd3bda9716 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8583e1881908a8d19fb9e105691 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.