Triple

T5377433
Position Surface form Disambiguated ID Type / Status
Subject Lincoln College, Oxford E112995 entity
Predicate hasAlumni P51 FINISHED
Object Rachel Maddow E162294 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: Rachel Maddow | Statement: [Lincoln College, Oxford, hasAlumni, Rachel Maddow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Maddow
Context triple: [Lincoln College, Oxford, hasAlumni, Rachel Maddow]
  • A. Rachel Maddow chosen
    Rachel Maddow is an American television news host, political commentator, and author best known for anchoring "The Rachel Maddow Show" on MSNBC.
  • B. Norah O'Donnell
    Norah O'Donnell is an American television journalist and news anchor best known for her work as a leading correspondent and anchor at CBS News.
  • C. Ben Maddow
    Ben Maddow was an American screenwriter and documentary filmmaker known for his work on classic mid-20th-century films and socially conscious cinema.
  • D. Andrea Mitchell
    Andrea Mitchell is an American television journalist and longtime NBC News correspondent known for her coverage of U.S. politics and foreign affairs.
  • E. Gwen Ifill
    Gwen Ifill was a pioneering American journalist and television newscaster, widely respected for her political reporting and for co-anchoring and moderating major public affairs programs on PBS.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29428cec8190a20bea8fcae59d8f completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.