Triple

T2500784
Position Surface form Disambiguated ID Type / Status
Subject Louisa Jacobson E52458 entity
Predicate sibling P363 FINISHED
Object Grace Gummer E50667 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: Grace Gummer | Statement: [Louisa Jacobson, sibling, Grace Gummer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace Gummer
Context triple: [Louisa Jacobson, sibling, Grace Gummer]
  • A. Grace Gummer chosen
    Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
  • B. Mamie Gummer
    Mamie Gummer is an American actress known for her work in film, television, and theater, and for being the daughter of acclaimed actress Meryl Streep.
  • C. Jemima Kirke
    Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
  • D. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • E. Annabelle Wallis
    Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1b144a481909b1f8d96742a92e7 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5ce4dc2c8190a1327794ac1d1b15 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.