Triple

T20184974
Position Surface form Disambiguated ID Type / Status
Subject Vincent Lane E492829 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Amanda 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: Amanda Lane | Statement: [Vincent Lane, hasRelationshipWith, Amanda Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Lane
Context triple: [Vincent Lane, hasRelationshipWith, Amanda Lane]
  • A. Amanda Lane chosen
    Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
  • B. Emily Alyn Lind
    Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
  • C. Melissa Hudson
    Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
  • D. Sara Paxton
    Sara Paxton is an American actress and singer known for her roles in films such as "Aquamarine," "The Last House on the Left," and various television series.
  • E. Annalise Basso
    Annalise Basso is an American actress known for her roles in independent films and television, including her performance in the critically acclaimed drama "Captain Fantastic."
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f199688190a42094cce220f6f2 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.