Triple

T7070818
Position Surface form Disambiguated ID Type / Status
Subject Henry Wolfe E164688 entity
Predicate hasRelative P367 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: [Henry Wolfe, hasRelative, Grace Gummer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace Gummer
Context triple: [Henry Wolfe, hasRelative, 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. Sarah Miles
    Sarah Miles is an English actress known for her roles in films such as "Ryan's Daughter" and "Blow-Up."
  • D. Jemima Kirke
    Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
  • E. Natascha McElhone
    Natascha McElhone is a British actress known for her film roles in the late 1990s and 2000s, including prominent performances in movies like "The Truman Show" and "Ronin," as well as her work in television series such as "Californication."
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c862f481908d1faf6ed57774f1 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf765d2481908d9ba1918f46bcda completed March 28, 2026, 11:45 a.m.
Created at: March 27, 2026, 2:39 p.m.