Triple

T10299975
Position Surface form Disambiguated ID Type / Status
Subject Battle of Carillon E241601 entity
Predicate commander P1061 FINISHED
Object James Abercrombie E33274 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: James Abercrombie | Statement: [Battle of Carillon, commander, James Abercrombie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Abercrombie
Context triple: [Battle of Carillon, commander, James Abercrombie]
  • A. James Abercrombie chosen
    James Abercrombie was a British Army officer who fought in the early campaigns of the American Revolutionary War, including the Battle of Bunker Hill.
  • B. Michael Abercrombie
    Michael Abercrombie was a British cell biologist and embryologist known for his pioneering work on cell migration and tissue development.
  • C. Peter Armitage
    Peter Armitage was a British actor best known for his long-running role as Bill Webster in the soap opera "Coronation Street."
  • D. Jonathan Abrams
    Jonathan Abrams is a Canadian software engineer and entrepreneur best known for creating the early social networking site Friendster.
  • E. Iain Armitage
    Iain Armitage is an American child actor best known for starring as young Sheldon Cooper in the TV series "Young Sheldon" and for his voice work in animated films and shows.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d3f2c2c8190a71e4a896d8753e7 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:44 a.m.