Triple

T5759531
Position Surface form Disambiguated ID Type / Status
Subject Bobby Darin E127053 entity
Predicate spouse P13 FINISHED
Object Sandra Dee E254597 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: Sandra Dee | Statement: [Bobby Darin, spouse, Sandra Dee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Dee
Context triple: [Bobby Darin, spouse, Sandra Dee]
  • A. Sandra Dee chosen
    Sandra Dee was an American actress and teen idol of the late 1950s and 1960s, best known for films like "Gidget" and "A Summer Place."
  • B. Diana Lynn
    Diana Lynn was an American film and television actress best known for her work in 1940s and 1950s Hollywood comedies and dramas.
  • C. Pat Farrah
    Pat Farrah is an American retail executive best known as a co-founder of The Home Depot and a key architect of the big-box home improvement store concept.
  • D. Debbie Rowe
    Debbie Rowe is an American nurse best known as Michael Jackson’s ex-wife and the mother of two of his children.
  • E. Sandy Rodgers
    Sandy Rodgers is the young African American protagonist of Langston Hughes's novel "Not Without Laughter," whose coming-of-age story explores race, family, and identity in early 20th-century Kansas.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0293771ec8190a0082685327d649b completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2438c65988190aedb03bed25f19e1 completed March 24, 2026, 7:55 a.m.
Created at: March 22, 2026, 3:49 p.m.