Triple

T20389920
Position Surface form Disambiguated ID Type / Status
Subject Mystery Train E498057 entity
Predicate editedBy P1954 FINISHED
Object Melody London 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: Melody London | Statement: [Mystery Train, editedBy, Melody London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melody London
Context triple: [Mystery Train, editedBy, Melody London]
  • A. Melody London chosen
    Melody London is a film editor best known for her work on independent and cult cinema, including Jim Jarmusch’s "Down by Law."
  • B. Love from London
    Love from London is a studio album by English singer-songwriter Robyn Hitchcock, showcasing his distinctive blend of surreal lyrics and melodic indie rock.
  • C. Ashbury Heights
    Ashbury Heights is a residential San Francisco neighborhood known for its hilly streets, Victorian homes, and proximity to the Haight-Ashbury and Cole Valley areas.
  • D. Melody
    Melody is the first name of Melody Love Norwood, the daughter of American singer Ray J and reality TV personality Princess Love.
  • E. Melody
    Melody is a character appearing in the supernatural comedy film "Ghostbusters: Frozen Empire."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.