Triple

T21354261
Position Surface form Disambiguated ID Type / Status
Subject Edwin Justus Mayer E526570 entity
Predicate notableWork P4 FINISHED
Object To Be or Not to Be 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: To Be or Not to Be | Statement: [Edwin Justus Mayer, notableWork, To Be or Not to Be]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To Be or Not to Be
Context triple: [Edwin Justus Mayer, notableWork, To Be or Not to Be]
  • A. To Be or Not to Be chosen
    "To Be or Not to Be" is a 1942 satirical comedy film about a Polish theater troupe outwitting the Nazis, regarded as one of Ernst Lubitsch’s greatest works.
  • B. To Be or Not to Be
    "To Be or Not to Be" is an Iranian film directed by Kianoush Ayari, recognized as one of his notable works in contemporary Iranian cinema.
  • C. Ngerderar Hamlet
    Ngerderar Hamlet is a small rural settlement located within Aimeliik State in the island nation of Palau.
  • 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. An Actor Prepares
    An Actor Prepares is a foundational acting manual by Konstantin Stanislavski that outlines his influential system for training and preparing actors for realistic performance.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9aa9508190b756cc8e07084c8e completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:05 p.m.