Triple

T149621
Position Surface form Disambiguated ID Type / Status
Subject New Model Army E3403 entity
Predicate opposedTo P437 FINISHED
Object Cavaliers E14097 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: Cavaliers | Statement: [New Model Army, opposedTo, Cavaliers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavaliers
Context triple: [New Model Army, opposedTo, Cavaliers]
  • A. Cleveland Cavaliers chosen
    The Cleveland Cavaliers are a professional NBA basketball team based in Cleveland, Ohio, known for their 2016 championship led by LeBron James.
  • B. Boston Celtics
    The Boston Celtics are a storied NBA franchise known for their record number of championships and iconic players like Bill Russell and Larry Bird.
  • C. Detroit Pistons
    The Detroit Pistons are an NBA franchise known for their multiple championships and historically tough, defense-oriented teams.
  • D. Baltimore Bullets
    The Baltimore Bullets were a professional basketball team that played in the 1940s–1950s and later became part of the early NBA before folding.
  • E. Virginia Squires
    The Virginia Squires were a professional basketball team that competed in the American Basketball Association during the late 1960s and early 1970s, known for featuring stars like Julius Erving and George Gervin.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580ca15481909fa3e87d804a1b23 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3672cae0c819086233f16cc2003de completed Feb. 28, 2026, 10:07 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.