Triple

T15576018
Position Surface form Disambiguated ID Type / Status
Subject Flickr E374371 entity
Predicate developer P73 FINISHED
Object Ludicorp E703155 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: Ludicorp | Statement: [Flickr, developer, Ludicorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludicorp
Context triple: [Flickr, developer, Ludicorp]
  • A. Ludicorp chosen
    Ludicorp was a Canadian software company best known for creating the photo-sharing service Flickr before being acquired by Yahoo.
  • B. Creatures Inc.
    Creatures Inc. is a Japanese video game development company best known for its key role in creating and managing the Pokémon franchise’s games, cards, and related media.
  • C. Kopelson Entertainment
    Kopelson Entertainment is a film and television production company best known for producing high-profile Hollywood action and thriller movies.
  • D. Compari Entertainment
    Compari Entertainment is a television production company best known for developing and producing the historical sci-fi drama series "Project Blue Book."
  • E. Edmonds Entertainment Group
    Edmonds Entertainment Group is a production company known for developing film and television projects, particularly in the African-American entertainment space, led by producer and media executive Tracey Edmonds.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4978ec8190a57de5d9a2ec6653 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.