Triple

T11884553
Position Surface form Disambiguated ID Type / Status
Subject Rachel Morrison E282744 entity
Predicate name P16 FINISHED
Object Rachel Morrison E282744 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: Rachel Morrison | Statement: [Rachel Morrison, name, Rachel Morrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Morrison
Context triple: [Rachel Morrison, name, Rachel Morrison]
  • A. Rachel Morrison chosen
    Rachel Morrison is an American cinematographer acclaimed for her groundbreaking work on major films and for being the first woman ever nominated for the Academy Award for Best Cinematography.
  • B. Kathryn Morris
    Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
  • C. Valerie Purvis
    Valerie Purvis is the femme fatale character in the 1936 mystery-comedy film "Satan Met a Lady," a loose adaptation of Dashiell Hammett's novel "The Maltese Falcon."
  • D. Rachel Moore
    Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
  • E. Rachel McCleary
    Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a02ad4819090faef0e0be732ee completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6af3b91288190ab2df6103bfa5a91 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:44 p.m.