Triple

T19927697
Position Surface form Disambiguated ID Type / Status
Subject Susan Mayer E478969 entity
Predicate residence P75 FINISHED
Object Wisteria 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: Wisteria Lane | Statement: [Susan Mayer, residence, Wisteria Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisteria Lane
Context triple: [Susan Mayer, residence, Wisteria Lane]
  • A. Wisteria Lane chosen
    Wisteria Lane is the fictional suburban street that serves as the primary setting for the television series "Desperate Housewives."
  • B. Rosemary Lane
    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.
  • C. Daisy Lane
    Daisy Lane is a fictional character appearing in the crime novel "The Hard Way," serving as part of its cast in the story’s central investigation.
  • D. Cul-de-sac
    Cul-de-sac is a 1966 psychological thriller film directed by Roman Polanski, known for its darkly comic tone and claustrophobic exploration of power dynamics among a small group of characters.
  • E. Laurelwood
    Laurelwood was a former community or tract in the San Fernando Valley that was later incorporated into what is now known as Studio City in Los Angeles, California.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cc1a448190aa98d4a66022457e completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.