Triple

T8036347
Position Surface form Disambiguated ID Type / Status
Subject The Power of Love E187117 entity
Predicate writer P1360 FINISHED
Object Chris Hayes E699387 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: [The Power of Love, writer, Chris Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hayes
Context triple: [The Power of Love, writer, Chris Hayes]
  • A. Chris Hayes
    Chris Hayes is an American political commentator, journalist, and author best known as a prime-time host on MSNBC.
  • B. Chris Hayes chosen
    Chris Hayes is an American musician and guitarist best known for his work with the rock band Huey Lewis and the News during their peak commercial success in the 1980s.
  • C. Lawrence O'Donnell
    Lawrence O'Donnell is an American television host, political commentator, and former political aide best known for hosting the MSNBC news and opinion program "The Last Word with Lawrence O'Donnell."
  • D. 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.
  • E. Rachel Maddow
    Rachel Maddow is an American television news host, political commentator, and author best known for anchoring "The Rachel Maddow Show" on MSNBC.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56fa97ac8190a0bd646d9ec345e4 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.