Triple

T12346432
Position Surface form Disambiguated ID Type / Status
Subject Walter Hobbs E294366 entity
Predicate associatedWith P37 FINISHED
Object Emily Hobbs E372962 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: Emily Hobbs | Statement: [Walter Hobbs, associatedWith, Emily Hobbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Hobbs
Context triple: [Walter Hobbs, associatedWith, Emily Hobbs]
  • A. Emily Hobbs chosen
    Emily Hobbs is the young daughter of Walter Hobbs in the Christmas film "Elf," who helps her family embrace Buddy and the holiday spirit.
  • B. Louise Hobbs
    Louise Hobbs is best known as the wife of British actor and television presenter Tony Robinson.
  • C. Toni Mannix
    Toni Mannix was an American actress and longtime mistress of Superman actor George Reeves, known for her connections to Hollywood’s Golden Age and the enduring mystery surrounding Reeves’s death.
  • D. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • E. June Callwood
    June Callwood was a prominent Canadian journalist, author, and social activist known for her extensive work on social justice issues and for founding numerous charitable organizations.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aac9edc8190ab1740d23af1b250 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.