Triple

T13023538
Position Surface form Disambiguated ID Type / Status
Subject Robert Nathan E326239 entity
Predicate spouse P13 FINISHED
Object Anna Lee E333701 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: Anna Lee | Statement: [Robert Nathan, spouse, Anna Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Lee
Context triple: [Robert Nathan, spouse, Anna Lee]
  • A. Anna Lee chosen
    Anna Lee was a British-born actress known for her prolific film and television career, including prominent roles in classic Hollywood dramas and long-running TV soap operas.
  • B. Alice Lee
    Alice Lee was an American lawyer and the older sister of author Harper Lee, known for her long legal career in Monroeville, Alabama and for helping manage her sister’s affairs.
  • C. Elizabeth Lee
    Elizabeth Lee was the wife of English poet and playwright Edward Young, best known for his work "Night Thoughts."
  • D. Florence Lee
    Florence Lee was an early 20th-century film actress best known for her supporting roles in silent comedies, including work with Charlie Chaplin.
  • E. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f861188190892b4d693395cc5e completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:52 p.m.