Triple

T4084570
Position Surface form Disambiguated ID Type / Status
Subject Danny DeVito E87557 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: [Danny DeVito, notableWork, Junior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior
Context triple: [Danny DeVito, 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.