Triple

T10973484
Position Surface form Disambiguated ID Type / Status
Subject Nu Image E259306 entity
Predicate alternativeName P39 FINISHED
Object Nu Image, Inc. E259306 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: Nu Image, Inc. | Statement: [Nu Image, alternativeName, Nu Image, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nu Image, Inc.
Context triple: [Nu Image, alternativeName, Nu Image, Inc.]
  • A. Nu Image chosen
    Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
  • B. Ingres Corporation
    Ingres Corporation is a software company best known for developing and commercializing the Ingres relational database management system, one of the early pioneers in the SQL database market.
  • C. Niconovum AB
    Niconovum AB is a Swedish company that develops and markets nicotine replacement therapy products such as gums, lozenges, and inhalers.
  • D. NTL Incorporated
    NTL Incorporated was a major UK-based telecommunications and cable television company that became one of the country’s largest broadband and pay-TV providers before later merging into Virgin Media.
  • E. Nazca Corporation
    Nazca Corporation was a Japanese video game developer best known for creating the run-and-gun arcade series Metal Slug before being absorbed into SNK.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.