Triple

T9426467
Position Surface form Disambiguated ID Type / Status
Subject Lover E227274 entity
Predicate track P17929 FINISHED
Object London Boy E441861 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: London Boy | Statement: [Lover, track, London Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Boy
Context triple: [Lover, track, London Boy]
  • A. London Boy chosen
    "London Boy" is a song co-written by British songwriter and producer Alexander Shuckburgh (also known as Al Shux), best known for its appearance on Taylor Swift’s 2019 album "Lover."
  • B. Mother London
    Mother London is a 1988 novel by Michael Moorcock that blends magical realism and social history to portray post-war London through the intertwined lives of three psychologically scarred characters.
  • C. London Brown
    London Brown is an American actor and comedian best known for his role on the HBO series "Ballers."
  • D. Portreeve of London
    The Portreeve of London was an early medieval civic official who served as the chief magistrate and royal representative in the city before the establishment of the office of Lord Mayor.
  • E. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107da6aa88190a015ee4a6eea2a4a completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:49 p.m.