Triple

T3681485
Position Surface form Disambiguated ID Type / Status
Subject Ivan Reitman E78120 entity
Predicate notableWork P4 FINISHED
Object Junior E95772 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: Junior | Statement: [Ivan Reitman, notableWork, Junior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior
Context triple: [Ivan Reitman, notableWork, 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 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.
  • D. 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.
  • E. Juvenile
    Juvenile is an American rapper from New Orleans best known as a member of the Hot Boys and for his influential late-1990s Southern hip hop hits like "Back That Azz Up."
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc492aed481909e8986378ad283fc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b306c081909b3857daa4f97ce2 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.