Triple

T18334844
Position Surface form Disambiguated ID Type / Status
Subject Dr. Larry Arbogast E439243 entity
Predicate appearsIn P795 FINISHED
Object Junior 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: Junior | Statement: [Dr. Larry Arbogast, appearsIn, Junior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior
Context triple: [Dr. Larry Arbogast, appearsIn, Junior]
  • A. Junior chosen
    Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
  • B. Junior
    Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
  • C. Junior
    Junior is the unborn baby in Jesmyn Ward’s novel "Salvage the Bones," symbolizing both vulnerability and hope for the impoverished Southern Black family at the story’s center.
  • D. Junior
    Junior is a professional Colombian football club based in Barranquilla, known for its strong fan base and multiple national league titles.
  • E. Junior zhuz
    Junior zhuz is one of the three traditional tribal confederations of the Kazakh people, historically occupying western Kazakhstan and playing a key role in the region’s political and social structure.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.