Triple

T2867171
Position Surface form Disambiguated ID Type / Status
Subject Battle of Sidi Barrani E63467 entity
Predicate hasCommander P1197 FINISHED
Object Richard O'Connor E69168 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: Richard O'Connor | Statement: [Battle of Sidi Barrani, hasCommander, Richard O'Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard O'Connor
Context triple: [Battle of Sidi Barrani, hasCommander, Richard O'Connor]
  • A. Richard O'Connor chosen
    Richard O'Connor was a British Army general best known for leading the highly successful Western Desert campaign against Italian forces in North Africa during the early years of World War II.
  • B. David Purviance
    David Purviance was an early 19th-century American Presbyterian minister and reformer who played a key role in the Stone-Campbell Restoration Movement.
  • C. John Langer
    John Langer is a notable individual distinguished enough to be specifically cited as a prominent bearer of the surname Langer.
  • D. Clifton Daniel
    Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
  • E. Richard Marden
    Richard Marden was a British film editor known for his work on notable mid-20th-century films, including adaptations of classic literature.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbcebcc81909a78a1787d823e3e completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de87779c8190ae6833b80d34f5b2 completed March 11, 2026, 9:28 p.m.
Created at: March 6, 2026, 10:02 p.m.