Triple

T10930897
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Walker E258201 entity
Predicate spouse P13 FINISHED
Object Mamie Gummer E50084 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: Mamie Gummer | Statement: [Benjamin Walker, spouse, Mamie Gummer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamie Gummer
Context triple: [Benjamin Walker, spouse, Mamie Gummer]
  • A. Mamie Gummer chosen
    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.
  • B. Grace Gummer
    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."
  • C. Don Gummer
    Don Gummer is an American sculptor known for his abstract, large-scale works and for his long marriage to actress Meryl Streep.
  • D. 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.
  • E. Lizzy Caplan
    Lizzy Caplan is an American actress known for her sharp, often comedic roles in film and television, including standout performances in projects like "Mean Girls," "Masters of Sex," and "Cloverfield."
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709f92088190a15ae3638d3b14fb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4acc9d60c819084e342076fe682fc completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:22 p.m.