Triple

T20243687
Position Surface form Disambiguated ID Type / Status
Subject Cecily Adams E498365 entity
Predicate parent P120 FINISHED
Object Adelaide Efantis Adams 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: Adelaide Efantis Adams | Statement: [Cecily Adams, parent, Adelaide Efantis Adams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adelaide Efantis Adams
Context triple: [Cecily Adams, parent, Adelaide Efantis Adams]
  • A. Adelaide Adams chosen
    Adelaide Adams is known primarily as the former wife of American actor and comedian Don Adams, famed for his role in the television series "Get Smart."
  • B. Adelaide Lister
    Adelaide Lister was the wife of British statesman John Russell, 1st Earl Russell, who served twice as Prime Minister of the United Kingdom in the mid-19th century.
  • C. Adelaide Lister
    Adelaide Lister is a person whose specific public background or notable achievements are not clearly documented in widely available sources.
  • D. Lydia Adams
    Lydia Adams is a central character in the television crime drama "Southland," portrayed as a dedicated and tough Los Angeles police detective.
  • E. Josephine Hutchinson
    Josephine Hutchinson was an American stage and film actress known for her work in Hollywood during the 1930s and 1940s, including roles in classic horror and dramatic films.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67170aa248190922fc845d2265ae3 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.