Triple

T1210920
Position Surface form Disambiguated ID Type / Status
Subject Anne Hathaway E25997 entity
Predicate name P16 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: [Anne Hathaway, name, Anne Hathaway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Hathaway
Context triple: [Anne Hathaway, name, 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde4670481908c16a3a8c1a54aad completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b9f65481908824573c225dc638 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:46 p.m.