Triple

T18606063
Position Surface form Disambiguated ID Type / Status
Subject Elliot Grainge E454750 entity
Predicate knownFor P22 FINISHED
Object founding 10K Projects 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: founding 10K Projects | Statement: [Elliot Grainge, knownFor, founding 10K Projects]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: founding 10K Projects
Context triple: [Elliot Grainge, knownFor, founding 10K Projects]
  • A. 10K Projects chosen
    10K Projects is an American independent record label known for signing prominent hip-hop and pop artists and rapidly growing its presence in the contemporary music industry.
  • B. TenThousand Projects
    TenThousand Projects is an independent record label known for releasing music by experimental and underground artists such as Gummo.
  • C. Project 5-100
    Project 5-100 is a Russian government initiative aimed at boosting the global competitiveness and international rankings of leading Russian universities.
  • D. 10K
    10K is a skilled young sharpshooter and zombie killer from the post-apocalyptic TV series "Z Nation," known for his goal of reaching ten thousand zombie kills.
  • E. Project 5-100 universities
    Project 5-100 universities are a group of leading Russian higher education institutions selected for a government initiative aimed at boosting their global competitiveness and international rankings.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e547544a248190a3465e22dfb29305 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.