Triple

T18945107
Position Surface form Disambiguated ID Type / Status
Subject Andrew Sullivan E463490 entity
Predicate name P16 FINISHED
Object Andrew Sullivan 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: Andrew Sullivan | Statement: [Andrew Sullivan, name, Andrew Sullivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Sullivan
Context triple: [Andrew Sullivan, name, Andrew Sullivan]
  • A. Andrew Sullivan chosen
    Andrew Sullivan is a British-American writer and political commentator known for his influential essays on politics, culture, and religion and for pioneering political blogging.
  • B. Christopher Caldwell
    Christopher Caldwell is an American journalist and author known for his commentary on politics, culture, and European affairs.
  • C. Bret Stephens
    Bret Stephens is an American conservative journalist and columnist known for his incisive political commentary and foreign policy analysis.
  • 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. John Cassidy
    John Cassidy was an Irish-born sculptor and artist active in Manchester during the late 19th and early 20th centuries, known for his public monuments and portrait statues.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53e6e0c81908a547e21c4819bac completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.