Triple

T12728245
Position Surface form Disambiguated ID Type / Status
Subject Lars Eidinger E304161 entity
Predicate hasRole P161 FINISHED
Object Hamlet E115188 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: Hamlet | Statement: [Lars Eidinger, hasRole, Hamlet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamlet
Context triple: [Lars Eidinger, hasRole, Hamlet]
  • A. Hamlet chosen
    Hamlet is a tragedy by William Shakespeare that follows the Prince of Denmark as he seeks revenge for his father’s murder while grappling with madness, morality, and mortality.
  • B. Hamlet
    Hamlet is a prominent impact crater on Uranus’s moon Oberon, notable for its large size and distinct geological features.
  • C. Ur-Hamlet
    Ur-Hamlet is a hypothesized lost Elizabethan play, likely about the Danish prince Hamlet, that is thought to have significantly influenced Shakespeare’s *Hamlet*.
  • D. The Hamlet
    The Hamlet is a 1940 novel by William Faulkner that inaugurates his Snopes trilogy, exploring themes of greed, social change, and rural life in the American South.
  • E. Hamlet ou les suites de la piété filiale
    "Hamlet ou les suites de la piété filiale" is a short story by Jules Laforgue that offers a symbolist, ironic reimagining of Shakespeare’s Hamlet within his collection *Moralités légendaires*.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.