Triple

T6176175
Position Surface form Disambiguated ID Type / Status
Subject Morning Joe E137824 entity
Predicate presenter P83 FINISHED
Object Joe Scarborough E572628 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: Joe Scarborough | Statement: [Morning Joe, presenter, Joe Scarborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Scarborough
Context triple: [Morning Joe, presenter, Joe Scarborough]
  • A. Joe Scarborough chosen
    Joe Scarborough is an American television host, former Republican congressman, and political commentator best known for co-hosting the MSNBC morning news and talk show "Morning Joe."
  • B. Mitch Martin
    Mitch Martin is the hapless, newly single protagonist of the comedy film "Old School," whose midlife crisis leads him to start a wild fraternity with his friends.
  • C. Steve Ross
    Steve Ross was an American businessman best known for building Warner Communications into a media powerhouse and serving as a key architect of what became Time Warner.
  • D. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • E. Matt Lauer
    Matt Lauer is an American television journalist and former longtime co-host of NBC's "Today" show.
  • 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_69c16ef0f76881909d678010d0c064e7 completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:18 p.m.