Triple

T12183883
Position Surface form Disambiguated ID Type / Status
Subject It's Okay to Be Smart E290283 entity
Predicate hasHost P2592 FINISHED
Object Joe Hanson E984646 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 Hanson | Statement: [It's Okay to Be Smart, hasHost, Joe Hanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Hanson
Context triple: [It's Okay to Be Smart, hasHost, Joe Hanson]
  • A. Joe Hanson chosen
    Joe Hanson is a science communicator and biologist best known for creating and hosting the educational YouTube series "It's Okay to Be Smart."
  • B. Bob Hanson
    Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
  • C. Andy Hanson
    Andy Hanson is a central, morally conflicted character in the crime drama film "Before the Devil Knows You're Dead," whose desperate decisions drive the story's tragic events.
  • D. Mark Hanson
    Mark Hanson is an Australian figure best known as the former husband of controversial right-wing politician Pauline Hanson.
  • E. Scott Hanson
    Scott Hanson is an American sportscaster best known as the longtime host of NFL RedZone, where he provides live, whip-around coverage of Sunday afternoon NFL games.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717f930c8190ad4713f1040d552a completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:50 p.m.