Triple

T18204137
Position Surface form Disambiguated ID Type / Status
Subject Hugging Face E435862 entity
Predicate notableProduct P1448 FINISHED
Object Optimum 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: Optimum | Statement: [Hugging Face, notableProduct, Optimum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Optimum
Context triple: [Hugging Face, notableProduct, Optimum]
  • A. Optimum chosen
    Optimum is a telecommunications brand offering cable television, internet, and phone services, primarily in the United States.
  • B. Best of the Best
    Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
  • C. The Standard of Excellence
    The Standard of Excellence is the guiding motto of Hampton University, reflecting its commitment to high academic achievement, leadership, and character.
  • D. The Best
    "The Best" is a powerful pop-rock anthem popularized by Tina Turner that has become one of her signature songs and an enduring inspirational hit.
  • E. The Best
    The Best is a musical group featuring drummer John Stanier, known for his work with bands like Helmet and Battles.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e221bbbc819088a7559a46b7d4e7 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.