Triple

T18445911
Position Surface form Disambiguated ID Type / Status
Subject Eliza Sommers E450655 entity
Predicate raisedBy P17573 FINISHED
Object Jeremy Sommers NE NERFINISHED

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: Jeremy Sommers | Statement: [Eliza Sommers, raisedBy, Jeremy Sommers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Sommers
Context triple: [Eliza Sommers, raisedBy, Jeremy Sommers]
  • A. Jeremy Sommers chosen
    Jeremy Sommers is a character in Isabel Allende's novel "Daughter of Fortune," depicted as a young Englishman whose ambitions and relationships help drive the story’s exploration of love, identity, and the California Gold Rush.
  • B. Tim Sommers
    Tim Sommers is a songwriter and producer best known for co-writing Hailee Steinfeld’s hit single "Most Girls."
  • C. Alex Somers
    Alex Somers is an American composer, producer, and musician known for his atmospheric, experimental soundscapes and frequent collaborations with Jónsi and Sigur Rós.
  • D. Erik Sommers
    Erik Sommers is an American screenwriter known for co-writing major Marvel superhero films, including entries in the Spider-Man and Ant-Man franchises.
  • E. Jay Sommers
    Jay Sommers was an American television writer and producer best known for developing and writing the classic 1960s sitcom "Green Acres."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c15127881909d23b6dd45d7ccc9 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.