Triple

T34858566
Position Surface form Disambiguated ID Type / Status
Subject Kindergarten Conga E1004796 entity
Predicate featuredInFilmFormat P106735 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: [Kindergarten Conga, featuredInFilmFormat, Technicolor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuredInFilmFormat
Context triple: [Kindergarten Conga, featuredInFilmFormat, Technicolor]
  • A. appearsInFilmFormat chosen
    Indicates that something is presented or occurs within a specific film format or medium of cinematic presentation.
  • B. portrayedInFilmMedium
    Indicates that an entity is depicted or represented within a film or cinematic work.
  • C. featuredInShortFilm
    Indicates that an entity appears or plays a role in a short film.
  • D. hasTheatricalForm
    Indicates that something is associated with or presented in a particular theatrical form or style.
  • E. featuredInFilmBy
    Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
  • F. None of above.

Provenance (4 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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a036c1282748190a820562bcd9aa5d9 completed May 12, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37795ca3408190a89af6b177cba73f completed June 21, 2026, 5:40 a.m.
PD Predicate disambiguation batch_6a036bb5ca0c8190bd50abc197960b41 completed May 12, 2026, 6:04 p.m.
Created at: May 3, 2026, 4 p.m.