Triple

T9968627
Position Surface form Disambiguated ID Type / Status
Subject Atomic Monster Productions E195745 entity
Predicate notableWork P4 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: [Atomic Monster Productions, notableWork, M3GAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M3GAN
Context triple: [Atomic Monster Productions, notableWork, 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. Prevenge
    Prevenge is a 2016 British black comedy slasher film written, directed by, and starring Alice Lowe, about a pregnant woman who believes her unborn child is compelling her to commit murders.
  • C. Mandy
    Mandy is a given name, typically a diminutive of names like Amanda or Armand, used for both females and males.
  • D. 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.
  • E. Tronzilla
    Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.