Triple

T22448076
Position Surface form Disambiguated ID Type / Status
Subject Four Wives E554915 entity
Predicate starring P1507 FINISHED
Object Rosemary Lane NE NERFINISHED

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: Rosemary Lane | Statement: [Four Wives, starring, Rosemary Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosemary Lane
Context triple: [Four Wives, starring, Rosemary Lane]
  • A. Rosemary Lane chosen
    Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
  • B. Primrose Lane
    Primrose Lane is a television series in which Shari Belafonte played a prominent role, contributing to her recognition as an actress.
  • C. Meadow Lane
    Meadow Lane is a historic football stadium in Nottingham, England, best known as the long-time home ground of Notts County F.C.
  • D. Holly Lane
    Holly Lane is a local road in the village of Rowtown in Surrey, England, serving residential and community areas.
  • E. Dorcas Lane
    Dorcas Lane is a central character in the British period drama "Lark Rise to Candleford," known as the capable and warm-hearted postmistress who often guides others in the rural community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b48be0481909f4601b732424e5b completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.