Triple

T1476118
Position Surface form Disambiguated ID Type / Status
Subject Emma E30843 entity
Predicate notableBearer P458 FINISHED
Object Emma Stone E26691 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: Emma Stone | Statement: [Emma, notableBearer, Emma Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Stone
Context triple: [Emma, notableBearer, Emma Stone]
  • A. Emma Stone chosen
    Emma Stone is an American actress acclaimed for her versatile performances in films such as "La La Land," for which she won the Academy Award for Best Actress.
  • B. Anna Kendrick
    Anna Kendrick is an American actress and singer known for her versatile performances in films such as "Pitch Perfect," "Up in the Air," and the musical fantasy "Into the Woods."
  • C. Zooey Deschanel
    Zooey Deschanel is an American actress, singer, and songwriter known for her quirky, offbeat roles in films like "500 Days of Summer" and the TV series "New Girl."
  • D. Olivia Wilde
    Olivia Wilde is an American actress and filmmaker known for her roles in film and television, including the medical drama "House" and for directing the acclaimed film "Booksmart."
  • E. Emmy Rossum
    Emmy Rossum is an American actress and singer best known for her role as Fiona Gallagher on the TV series "Shameless" and for her work in films such as "The Phantom of the Opera."
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15ab9430819094deb90436983036 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:11 p.m.