Triple

T8523696
Position Surface form Disambiguated ID Type / Status
Subject Mika Brzezinski E201758 entity
Predicate notableWork P4 FINISHED
Object Morning Joe E137824 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: Morning Joe | Statement: [Mika Brzezinski, notableWork, Morning Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morning Joe
Context triple: [Mika Brzezinski, notableWork, Morning Joe]
  • A. Morning Joe chosen
    Morning Joe is a weekday morning news and talk show on MSNBC known for its political commentary, interviews, and roundtable discussions.
  • B. Morning Edition
    Morning Edition is NPR's flagship weekday morning news program, featuring in-depth reporting, analysis, and interviews on national and international stories.
  • C. America This Morning
    America This Morning is an early-morning American news program on ABC that delivers national and international headlines, weather, and feature stories to viewers before the start of the regular broadcast day.
  • D. Monday Morning
    "Monday Morning" is a song from Christina Aguilera's 2010 electro-pop and R&B-influenced album *Bionic*.
  • E. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64362c88190b978a2544eec6e3e completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e8399f481909992aedf0d918cbc completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:16 p.m.