Triple

T7918059
Position Surface form Disambiguated ID Type / Status
Subject A Series of Unfortunate Events (TV series) E183875 entity
Predicate villain P4675 FINISHED
Object Count Olaf E335444 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: Count Olaf | Statement: [A Series of Unfortunate Events (TV series), villain, Count Olaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count Olaf
Context triple: [A Series of Unfortunate Events (TV series), villain, Count Olaf]
  • A. Count Olaf chosen
    Count Olaf is the main villain of Lemony Snicket’s "A Series of Unfortunate Events," a greedy, theatrical criminal who relentlessly schemes to steal the Baudelaire orphans’ fortune.
  • B. Lemony Snicket
    Lemony Snicket is the pen name of author Daniel Handler, best known for writing the darkly humorous children's book series "A Series of Unfortunate Events."
  • C. Matilda
    Matilda was the regnal name of Edith of Scotland, who became Queen consort of England as the wife of King Henry I.
  • D. Matilda
    Matilda is a virtuous and tragic noblewoman in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
  • E. Matilda
    Matilda is the middle name of Louisa Matilda Jacobs, an African American writer and activist and the daughter of abolitionist author Harriet Jacobs.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdffe21fc8190acffc2e92d13aa5d completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:05 p.m.