Triple

T18334856
Position Surface form Disambiguated ID Type / Status
Subject Dr. Larry Arbogast E439243 entity
Predicate partOf P40 FINISHED
Object Junior (film) 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 (film) | Statement: [Dr. Larry Arbogast, partOf, Junior (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior (film)
Context triple: [Dr. Larry Arbogast, partOf, Junior (film)]
  • A. Junior (1994 film) chosen
    Junior (1994 film) is a comedy film in which Arnold Schwarzenegger plays a scientist who becomes the first pregnant man as part of an experimental fertility project.
  • B. Junior (film universe)
    Junior (film universe) is the fictional setting of the 1994 sci-fi comedy film "Junior," in which a fertility scientist becomes pregnant as part of an experimental procedure.
  • C. Jr.
    Jr. is a generational suffix used in English-speaking naming conventions to distinguish a son from his father when they share the same full name.
  • D. Gençler
    Gençler is a common nickname for the Turkish football club Gençlerbirliği S.K., based in Ankara and known for competing in the country's professional leagues.
  • E. film "Junior Miss"
    The film "Junior Miss" is a 1945 American comedy movie based on Sally Benson’s popular stories about the humorous misadventures of a teenage girl in New York City.
  • 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.