Triple

T14558886
Position Surface form Disambiguated ID Type / Status
Subject Maid in Manhattan E341616 entity
Predicate starring P1507 FINISHED
Object Frances Conroy E207114 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: Frances Conroy | Statement: [Maid in Manhattan, starring, Frances Conroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Conroy
Context triple: [Maid in Manhattan, starring, Frances Conroy]
  • A. Frances Conroy chosen
    Frances Conroy is an American actress known for her work in film, television, and theater, including prominent roles in "Six Feet Under" and "American Horror Story."
  • B. Eileen Brennan
    Eileen Brennan was an American actress known for her sharp comic timing and memorable character roles in films like "Private Benjamin" and "Clue," as well as numerous television appearances.
  • C. Susan Forristal
    Susan Forristal is an American writer and former actress known for her work in film and television and for her past marriage to "Saturday Night Live" creator Lorne Michaels.
  • D. Frances Miles
    Frances Miles was the mother of American rock and funk drummer and singer Buddy Miles.
  • E. Colleen Sharp
    Colleen Sharp is a film editor best known for her work on Terrence Malick’s acclaimed drama "Days of Heaven."
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9124af481908f43e3b541568e26 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.