Triple

T2026899
Position Surface form Disambiguated ID Type / Status
Subject Parker E44427 entity
Predicate hasVariant P455 FINISHED
Object Parkers E207711 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: Parkers | Statement: [Parker, hasVariant, Parkers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkers
Context triple: [Parker, hasVariant, Parkers]
  • A. The Parkers chosen
    The Parkers is an American sitcom that follows the comedic lives of a mother and daughter attending college together, starring Mo'Nique and Countess Vaughn.
  • B. Westy
    Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
  • C. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • D. Sideswipe
    Sideswipe is an Autobot warrior from the Transformers franchise, typically portrayed as a sleek, high-speed combat specialist.
  • E. Wall Street West
    Wall Street West is a major financial district centered in Jersey City, New Jersey, that serves as a significant extension and backup hub for New York City's Wall Street.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afc9e3c8190a045ef1c987c4141 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.