Triple

T5268997
Position Surface form Disambiguated ID Type / Status
Subject Susanna Hall E119209 entity
Predicate mother P120 FINISHED
Object Anne Hathaway E494598 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: Anne Hathaway | Statement: [Susanna Hall, mother, Anne Hathaway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Hathaway
Context triple: [Susanna Hall, mother, Anne Hathaway]
  • A. Anne Hathaway chosen
    Anne Hathaway was the wife of playwright William Shakespeare and the mother of his children, including Hamnet.
  • B. Anne Hathaway
    Anne Hathaway is an American actress known for her versatile performances in films ranging from "The Princess Diaries" and "The Devil Wears Prada" to the musical drama "Les Misérables."
  • C. Natalie Portman
    Natalie Portman is an acclaimed Israeli-American actress known for her versatile film roles and her Academy Award-winning performance in "Black Swan."
  • D. Amanda Lane
    Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
  • E. Emily Blunt
    Emily Blunt is a British actress known for her versatile performances in films such as "The Devil Wears Prada," "Edge of Tomorrow," "A Quiet Place," and "Mary Poppins Returns."
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfdc9bc81908307f44f32fe9338 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe924e80819083fbc761900e263c completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.