Triple

T5916980
Position Surface form Disambiguated ID Type / Status
Subject Mamie Van Doren E131603 entity
Predicate spouse P13 FINISHED
Object Lee Meyers
Lee Meyers is known primarily as the husband of American actress and 1950s sex symbol Mamie Van Doren.
 E557471 NE FINISHED

How this triple was built (4 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. Joe Jenckes
    Joe Jenckes is a film producer best known for his work on the financial thriller "Margin Call."
  • B. Jan Dyer
    Jan Dyer is a songwriter best known for co-writing the country duet "Every Time Two Fools Collide."
  • C. Lee Garmes
    Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
  • D. Steve Meerson
    Steve Meerson is an American screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
  • E. Lee Clow
    Lee Clow is a legendary American advertising executive best known for his groundbreaking work at TBWA\Chiat\Day, where he helped create iconic campaigns for Apple and other major brands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lee Meyers
Triple: [Mamie Van Doren, spouse, Lee Meyers]
Generated description
Lee Meyers is known primarily as the husband of American actress and 1950s sex symbol Mamie Van Doren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lee Meyers
Target entity description: Lee Meyers is known primarily as the husband of American actress and 1950s sex symbol Mamie Van Doren.
  • A. Joe Jenckes
    Joe Jenckes is a film producer best known for his work on the financial thriller "Margin Call."
  • B. Jan Dyer
    Jan Dyer is a songwriter best known for co-writing the country duet "Every Time Two Fools Collide."
  • C. Lee Garmes
    Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
  • D. Steve Meerson
    Steve Meerson is an American screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
  • E. Lee Clow
    Lee Clow is a legendary American advertising executive best known for his groundbreaking work at TBWA\Chiat\Day, where he helped create iconic campaigns for Apple and other major brands.
  • F. None of above. chosen

Provenance (5 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c02c24cc8190a98d24f7445f59b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c19665b08190ab3c66b7c6c33f61 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4576824819080ced71df8fdda6c completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 3:59 p.m.