Triple

T6176127
Position Surface form Disambiguated ID Type / Status
Subject The Rachel Maddow Show E137823 entity
Predicate starring P1507 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: [The Rachel Maddow Show, starring, Rachel Maddow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Maddow
Context triple: [The Rachel Maddow Show, starring, 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc70ac481909fd1db0d69837eca completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d7783988190a0f0c8b37abe7069 completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:18 p.m.