Triple

T9397501
Position Surface form Disambiguated ID Type / Status
Subject Marian Carr E226381 entity
Predicate name P16 FINISHED
Object Marian Carr E226381 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: Marian Carr | Statement: [Marian Carr, name, Marian Carr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marian Carr
Context triple: [Marian Carr, name, Marian Carr]
  • A. Marian Carr chosen
    Marian Carr was an American film and television actress best known for her roles in 1950s noir and crime dramas.
  • B. Patricia Carey
    Patricia Carey is an Irish-American opera singer and vocal coach best known as the mother of pop superstar Mariah Carey.
  • C. Glenna Goodacre
    Glenna Goodacre was an American sculptor renowned for her figurative public monuments, including the Vietnam Women's Memorial in Washington, D.C., and the design of the U.S. Sacagawea dollar coin.
  • D. Dolores Fuller
    Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
  • E. Rose Maxson
    Rose Maxson is a central character in the film "Fences," portrayed as a devoted yet resilient wife and mother who anchors her family amid emotional and social turmoil.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1011aef64819085cbb7e04c2d87b2 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.