Triple

T20653187
Position Surface form Disambiguated ID Type / Status
Subject Addictions E507553 entity
Predicate partOfAlbum P35 FINISHED
Object Historian 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: Historian | Statement: [Addictions, partOfAlbum, Historian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Historian
Context triple: [Addictions, partOfAlbum, Historian]
  • A. Historian chosen
    Historian is the second studio album by American singer-songwriter Lucy Dacus, noted for its introspective indie rock sound and critical acclaim.
  • B. Leopold von Ranke
    Leopold von Ranke was a pioneering 19th-century German historian renowned for establishing modern source-based historical scholarship and the principle of writing history “as it actually happened.”
  • C. British historian Noel Annan
    Noel Annan was a prominent British historian, intellectual, and academic administrator known for his influential writings on modern British society and the intellectual elite.
  • D. Harrington Professor of History
    Harrington Professor of History is a distinguished endowed academic chair in the field of history, held by historian Alfred W. McCoy.
  • E. Orlando Figes
    Orlando Figes is a British historian and author renowned for his influential works on Russian and European history.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eb8c7081908e7dd7f7fa375190 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.