Triple

T6961495
Position Surface form Disambiguated ID Type / Status
Subject Thin Red Line E161378 entity
Predicate namedBy P63 FINISHED
Object William Howard Russell E29455 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: William Howard Russell | Statement: [Thin Red Line, namedBy, William Howard Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Howard Russell
Context triple: [Thin Red Line, namedBy, William Howard Russell]
  • A. William Howard Russell chosen
    William Howard Russell was a pioneering Irish war correspondent for The Times, best known for his influential frontline reporting during the Crimean War.
  • B. John R. Thomson
    John R. Thomson was a 19th-century American politician who served as a U.S. Senator from New Jersey.
  • C. Roger Fenton
    Roger Fenton was a pioneering 19th-century British photographer best known for producing some of the earliest and most influential war photographs.
  • D. George Gellhorn
    George Gellhorn was a German-born gynecologist and medical researcher, best known as the father of American war correspondent and author Martha Gellhorn.
  • E. Charles Pilger
    Charles Pilger is an individual notable enough to be recorded as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily available.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf07e3481909aa79b8e0f1b1be7 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589c587c8190b97523b5ac2ab958 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.