Triple

T5514681
Position Surface form Disambiguated ID Type / Status
Subject Rope E144652 entity
Predicate castMember P1668 FINISHED
Object Joan Chandler E355705 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: Joan Chandler | Statement: [Rope, castMember, Joan Chandler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Chandler
Context triple: [Rope, castMember, Joan Chandler]
  • A. Joan Chandler chosen
    Joan Chandler was an American stage and film actress best known for her roles in mid-20th-century dramas and thrillers, including Alfred Hitchcock’s "Rope."
  • B. Joan Foster
    Joan Foster is the complex, identity-shifting protagonist of Margaret Atwood’s novel "Lady Oracle," known for her secret life as a gothic romance writer and her struggle to escape her past.
  • C. Elizabeth Chandler
    Elizabeth Chandler is an American screenwriter best known for adapting classic and young adult novels into popular films.
  • D. Susan Chandler
    Susan Chandler is the protagonist of Mary Higgins Clark’s psychological suspense novel "You Belong to Me," a radio psychologist who becomes entangled in a dangerous murder investigation.
  • E. Joan Peers
    Joan Peers was an American film actress active in the early 1930s, known for her roles in several pre-Code Hollywood productions.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5b4e988190b590b4157cf089c1 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d52b808190ada94893b043fb19 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.