Triple

T2263204
Position Surface form Disambiguated ID Type / Status
Subject Mamie Gummer E50084 entity
Predicate notableWork P4 FINISHED
Object Side Effects E237586 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: Side Effects | Statement: [Mamie Gummer, notableWork, Side Effects]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Side Effects
Context triple: [Mamie Gummer, notableWork, Side Effects]
  • A. Side Effects
    "Side Effects" is a song featured on the album "E=MC²," likely contributing to the record's overall musical and thematic style.
  • B. Side Effects chosen
    Side Effects is a 2013 psychological thriller film directed by Steven Soderbergh that explores the dark consequences of prescription medication and pharmaceutical manipulation.
  • C. Consequences
    "Consequences" is a memoir by Canadian author and former First Lady Margaret Trudeau, in which she reflects on her personal struggles, relationships, and mental health.
  • D. Impact
    Impact is the commonly used short name and nickname for the Montreal Impact, a professional soccer club based in Montreal, Canada.
  • E. RT Effects
    RT Effects is the former name of Weta Workshop, the renowned New Zealand special effects and prop company known for its work on major film franchises like The Lord of the Rings.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18d7fc08190851765683d1b8092 completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cfd3b08190988474aa0fa985fe completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.