Triple

T22547696
Position Surface form Disambiguated ID Type / Status
Subject Mamie Van Doren E557471 entity
Predicate spouse P13 FINISHED
Object Lee Meyers 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: Lee Meyers | Statement: [Mamie Van Doren, spouse, Lee Meyers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Meyers
Context triple: [Mamie Van Doren, spouse, Lee Meyers]
  • A. Lee Meyers chosen
    Lee Meyers is known primarily as the husband of American actress and 1950s sex symbol Mamie Van Doren.
  • B. Nat Borchers
    Nat Borchers is a retired American soccer defender best known for his long, stalwart career in Major League Soccer and his key role in helping Real Salt Lake win the 2009 MLS Cup.
  • C. Walter Meyers
    Walter Meyers is the widowed patriarch of a large, sometimes fractious family who gathers them together for the holidays in the comedy-drama film "Almost Christmas."
  • D. Lee Klarich
    Lee Klarich is a technology executive best known as a key founding leader and longtime chief product officer of cybersecurity company Palo Alto Networks.
  • E. Joe Jenckes
    Joe Jenckes is a film producer best known for his work on the financial thriller "Margin Call."
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f366f208190abbc6eb4780b2d48 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.