Triple

T23000903
Position Surface form Disambiguated ID Type / Status
Subject Joe Scarborough E572628 entity
Predicate notableWork P4 FINISHED
Object Morning Joe NE NERFINISHED

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: [Joe Scarborough, notableWork, Morning Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morning Joe
Context triple: [Joe Scarborough, 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. Monday Morning
    "Monday Morning" is a 2002 French-Georgian comedy-drama film by director Otar Iosseliani that follows the quiet, routine-bound life of a factory worker in a small European town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18352bcf48190bd474eff69b3465b completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.