Triple

T6527354
Position Surface form Disambiguated ID Type / Status
Subject Allison Williams E151338 entity
Predicate appearedIn P795 FINISHED
Object M3GAN E606099 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: M3GAN | Statement: [Allison Williams, appearedIn, M3GAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M3GAN
Context triple: [Allison Williams, appearedIn, M3GAN]
  • A. M3GAN chosen
    M3GAN is a 2022 sci-fi horror film about an artificially intelligent doll that becomes dangerously overprotective of the child it is designed to befriend.
  • B. Mandy
    Mandy is a given name, typically a diminutive of names like Amanda or Armand, used for both females and males.
  • C. Golem
    Golem is a classic 1915 science fiction novel by Polish writer Gustav Meyrink that reimagines the Jewish legend of a mystical clay creature brought to life in the Prague ghetto.
  • D. Tronzilla
    Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
  • E. Chappie
    Chappie is a 2015 science fiction film directed by Neill Blomkamp about an experimental police robot that gains sentience and struggles to learn and survive in a human world.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada8a0e48190947616f3a09a2cba completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e416e884819099c788cc3a814414 completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:45 p.m.