Triple

T3798713
Position Surface form Disambiguated ID Type / Status
Subject Hotel Transylvania 2 E91635 entity
Predicate producer P490 FINISHED
Object Michelle Murdocca E200746 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: Michelle Murdocca | Statement: [Hotel Transylvania 2, producer, Michelle Murdocca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Murdocca
Context triple: [Hotel Transylvania 2, producer, Michelle Murdocca]
  • A. Michelle Murdocca chosen
    Michelle Murdocca is an American film producer and voice actress best known for her work on the animated Hotel Transylvania franchise.
  • B. Imma Sumack
    Imma Sumack is an alternative name for Yma Sumac, the renowned Peruvian soprano celebrated for her extraordinary vocal range and exoticized 1950s exotica recordings.
  • C. Lisa Heinzerling
    Lisa Heinzerling is an American legal scholar and environmental law expert known for her influential work on climate regulation and public health policy.
  • D. Rebecca Front
    Rebecca Front is a British actress and comedian best known for her roles in television series such as "The Thick of It," "Lewis," and numerous other UK comedies and dramas.
  • E. Jayne Wisener
    Jayne Wisener is a Northern Irish actress and singer best known for playing Johanna in Tim Burton’s film adaptation of Sweeney Todd: The Demon Barber of Fleet Street.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a270908190ac30537a22f3d500 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f064471881908b52b2f64e50a83d completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.