Triple

T3249073
Position Surface form Disambiguated ID Type / Status
Subject Fun and Fancy Free E68132 entity
Predicate format P130 FINISHED
Object Technicolor E20215 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: Technicolor | Statement: [Fun and Fancy Free, format, Technicolor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technicolor
Context triple: [Fun and Fancy Free, format, Technicolor]
  • A. Technicolor chosen
    Technicolor is a pioneering color motion picture process and company renowned for its vivid, saturated hues in classic Hollywood films.
  • B. Blue Sky Studios
    Blue Sky Studios was an American computer animation film studio best known for creating the "Ice Age" franchise and other popular animated features.
  • C. 20th Century Fox
    20th Century Fox was a leading American film studio renowned for producing and distributing many iconic movies during and after Hollywood’s Golden Age.
  • D. Warner Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • E. Columbia Pictures
    Columbia Pictures is a historic American film studio that rose to prominence during Hollywood’s Golden Age and became one of the industry’s leading producers and distributors of motion pictures.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.