Triple

T14079996
Position Surface form Disambiguated ID Type / Status
Subject How to Get Away with Murder E338840 entity
Predicate executiveProducer P7225 FINISHED
Object Betsy Beers E382010 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: Betsy Beers | Statement: [How to Get Away with Murder, executiveProducer, Betsy Beers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betsy Beers
Context triple: [How to Get Away with Murder, executiveProducer, Betsy Beers]
  • A. Betsy Beers chosen
    Betsy Beers is an American television and film producer best known for her longtime collaboration with Shonda Rhimes on hit series such as Grey’s Anatomy and Scandal.
  • B. Carol Ann Beery
    Carol Ann Beery is the daughter of Academy Award–winning American actor Wallace Beery.
  • C. Betsy Baker
    Betsy Baker is an American actress best known for her role as Linda in Sam Raimi’s cult horror film "The Evil Dead."
  • D. Betsy Blair
    Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
  • E. Betsy Koch
    Betsy Koch is a film producer known for her work on the darkly comedic horror-thriller "The Menu."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce12e78819080b3fe19c57ef3ef completed May 9, 2026, 12:47 p.m.
Created at: April 9, 2026, 10:21 p.m.