Triple

T6176255
Position Surface form Disambiguated ID Type / Status
Subject All In with Chris Hayes E137825 entity
Predicate hasHost P2592 FINISHED
Object Chris Hayes E572630 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: Chris Hayes | Statement: [All In with Chris Hayes, hasHost, Chris Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hayes
Context triple: [All In with Chris Hayes, hasHost, Chris Hayes]
  • A. Chris Hayes chosen
    Chris Hayes is an American political commentator, journalist, and author best known as a prime-time host on MSNBC.
  • B. 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.
  • C. Rachel Maddow
    Rachel Maddow is an American television news host, political commentator, and author best known for anchoring "The Rachel Maddow Show" on MSNBC.
  • D. Jake Tapper
    Jake Tapper is an American journalist, author, and longtime CNN anchor known for his political reporting and nonfiction books.
  • E. Nick Barbaro
    Nick Barbaro is an American media entrepreneur and publisher best known as a co-founder of the South by Southwest (SXSW) festival in Austin, Texas.
  • 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_69c243cbd38081909169c57c55696ff6 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:18 p.m.