Triple

T22454150
Position Surface form Disambiguated ID Type / Status
Subject Brian Robbins E555068 entity
Predicate notableWork P4 FINISHED
Object Blue Mountain State 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: Blue Mountain State | Statement: [Brian Robbins, notableWork, Blue Mountain State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Mountain State
Context triple: [Brian Robbins, notableWork, Blue Mountain State]
  • A. Blue Mountain State chosen
    Blue Mountain State is an American comedy television series that follows the outrageous antics and party-filled lives of a fictional college football team and its players.
  • B. Blue Mountain
    Blue Mountain is a prominent ridge of the Appalachian Mountains in eastern Pennsylvania, forming a major natural barrier and scenic landmark across the region.
  • C. Blue Mountain
    Blue Mountain, also known as Phawngpui, is the highest peak in the Indian state of Mizoram and a prominent natural landmark famed for its scenic beauty and rich biodiversity.
  • D. Blue Mountain
    Blue Mountain is a small rural community located in Pictou County in the Canadian province of Nova Scotia.
  • E. Blue Mountain
    Blue Mountain is a prominent peak in the Adirondack Mountains of New York State, known for its fire tower and panoramic views.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.