Triple

T11447584
Position Surface form Disambiguated ID Type / Status
Subject Body of Lies E271304 entity
Predicate author P4 FINISHED
Object David Ignatius E271305 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: David Ignatius | Statement: [Body of Lies, author, David Ignatius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Ignatius
Context triple: [Body of Lies, author, David Ignatius]
  • A. David Ignatius chosen
    David Ignatius is an American journalist and novelist known for his espionage thrillers and long-running foreign affairs column in The Washington Post.
  • B. Christopher Drew
    Christopher Drew is a journalist and author known for co-writing works of investigative nonfiction, including a memoir about the discovery of the Titanic.
  • C. Edward Luce
    Edward Luce is a British journalist and author best known as a senior columnist and commentator on U.S. politics and global affairs for the Financial Times.
  • D. Roger Gage
    Roger Gage is a British stage director known for his work in theatre and for having been married to acclaimed actress Joan Plowright.
  • E. Graeme Wood
    Graeme Wood is an Australian entrepreneur best known as the founder of the online travel booking company Wotif.com.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.