Triple

T12374220
Position Surface form Disambiguated ID Type / Status
Subject Perfect Couples E295080 entity
Predicate stars P1956 FINISHED
Object Mary Elizabeth Ellis E60942 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: Mary Elizabeth Ellis | Statement: [Perfect Couples, stars, Mary Elizabeth Ellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Elizabeth Ellis
Context triple: [Perfect Couples, stars, Mary Elizabeth Ellis]
  • A. Mary Elizabeth Ellis chosen
    Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
  • B. Mary Ellis
    Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
  • C. Mary Elizabeth Gaud
    Mary Elizabeth Gaud is known as the wife of William Gaud, a prominent American lawyer and World Bank official.
  • D. Sarah Ellis
    Sarah Ellis was the wife of Confederate General William J. Hardee, known primarily through her association with his military and social prominence in the 19th-century American South.
  • E. Ellen Andrews
    Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
Created at: April 8, 2026, 9:54 p.m.