Triple

T971320
Position Surface form Disambiguated ID Type / Status
Subject William Shakespeare E20950 entity
Predicate spouse P13 FINISHED
Object Anne Hathaway E25997 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: [William Shakespeare, spouse, Anne Hathaway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Hathaway
Context triple: [William Shakespeare, spouse, Anne Hathaway]
  • A. Anne Hathaway chosen
    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."
  • B. 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."
  • C. 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."
  • D. Paula Patton
    Paula Patton is an American actress known for her roles in films such as "Precious," "Mission: Impossible – Ghost Protocol," and various romantic comedies and dramas.
  • E. Michelle Williams
    Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b44aa6088190a90c44a8f694ec41 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170a00f481909da0394531ac24fe completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.