Triple

T3697186
Position Surface form Disambiguated ID Type / Status
Subject Renesmee Cullen E78486 entity
Predicate grandmother P3524 FINISHED
Object Renée Dwyer E417951 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: Renée Dwyer | Statement: [Renesmee Cullen, grandmother, Renée Dwyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renée Dwyer
Context triple: [Renesmee Cullen, grandmother, Renée Dwyer]
  • A. Renée Dwyer chosen
    Renée Dwyer is Bella Swan’s free-spirited, somewhat scatterbrained mother in the Twilight series, known for her warm but unconventional parenting style.
  • B. Linda Fennimore
    Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
  • C. Rosemarie DeWitt
    Rosemarie DeWitt is an American actress known for her work in film and television, including prominent roles in projects like "Rachel Getting Married," "United States of Tara," and "La La Land."
  • D. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • E. Kate Wollman
    Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc5115ad8819085ffa938de3943f4 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde03b1f508190b9d5026103d3ee79 completed March 21, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:26 p.m.