Triple

T1129588
Position Surface form Disambiguated ID Type / Status
Subject Funny Girl E24796 entity
Predicate colorProcess P3490 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: [Funny Girl, colorProcess, Technicolor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technicolor
Context triple: [Funny Girl, colorProcess, 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbf979108190adad7073c8275dd2 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ead716c81908bf7c6531cbff7f1 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.