Triple

T2585999
Position Surface form Disambiguated ID Type / Status
Subject Harrow Songs E58003 entity
Predicate hasTrack P3284 FINISHED
Object The Silver Arrow E58003 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: The Silver Arrow | Statement: [Harrow Songs, hasTrack, The Silver Arrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Silver Arrow
Context triple: [Harrow Songs, hasTrack, The Silver Arrow]
  • A. The Silver Arrow chosen
    The Silver Arrow is a track featured on the album "Harrow Songs."
  • B. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • C. The Yellow Rolls-Royce
    The Yellow Rolls-Royce is a 1964 British anthology drama film that follows the intertwined stories of different owners of a luxury car across several years and countries.
  • D. The Golden Jet
    The Golden Jet was the nickname of Bobby Hull, a legendary Canadian ice hockey forward renowned for his blazing speed and powerful slapshot, primarily with the Chicago Blackhawks.
  • E. Rolls-Royce Silver Ghost
    The Rolls-Royce Silver Ghost is an early 20th-century luxury automobile famed for its exceptional reliability, refinement, and role in establishing Rolls-Royce’s reputation as a maker of “the best car in the world.”
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f6f6ac8190abff7b8b6ff3c023 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6581f6fc819099ea28ecbb0093d7 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.