Triple

T14593284
Position Surface form Disambiguated ID Type / Status
Subject Gogglebox E342498 entity
Predicate productionCompany P490 FINISHED
Object Studio Lambert E864580 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: Studio Lambert | Statement: [Gogglebox, productionCompany, Studio Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Studio Lambert
Context triple: [Gogglebox, productionCompany, Studio Lambert]
  • A. Studio Lambert chosen
    Studio Lambert is a British television production company known for creating popular reality and factual entertainment shows such as "Undercover Boss" and "Gogglebox."
  • B. Studio La Cachette
    Studio La Cachette is a French animation studio known for its dynamic, hand-drawn 2D animation and work on high-profile projects and anthologies.
  • C. Studio AKA
    Studio AKA is a London-based animation and production studio renowned for its distinctive, award-winning animated films, commercials, and television series.
  • D. Studio Moretti
    Studio Moretti is an architectural firm established by renowned Italian architect Luigi Moretti, known for its innovative and modernist design work.
  • E. Studio Alta
    Studio Alta is a well-known commercial and entertainment complex in Shinjuku, Tokyo, famous for its large outdoor video screen and role as a popular meeting spot.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.