Triple

T6790673
Position Surface form Disambiguated ID Type / Status
Subject Permira E155921 entity
Predicate notableInvestment P3488 FINISHED
Object All3Media E246895 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: All3Media | Statement: [Permira, notableInvestment, All3Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All3Media
Context triple: [Permira, notableInvestment, All3Media]
  • A. All3Media chosen
    All3Media is a major British independent television, film, and digital production and distribution company that owns numerous production labels and creates content for broadcasters and platforms worldwide.
  • B. AVM Productions
    AVM Productions is one of the oldest and most influential film production studios in India, renowned for its major contributions to Tamil cinema and South Indian film history.
  • C. Acorn Media
    Acorn Media is a British-focused home entertainment and streaming company known for distributing and producing television dramas and mystery series.
  • D. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • E. Ingenious Media
    Ingenious Media is a British media investment and production company known for financing and supporting major film projects, including the acclaimed adaptation of "Life of Pi."
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8c445c8190abea97a04d648f52 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.