Triple

T17977659
Position Surface form Disambiguated ID Type / Status
Subject Branch E449517 entity
Predicate roleInTrolls World Tour (2020 film) P120250 FINISHED
Object deuteragonist LITERAL 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: deuteragonist | Statement: [Branch, roleInTrolls World Tour (2020 film), deuteragonist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInTrolls World Tour (2020 film)
Context triple: [Branch, roleInTrolls World Tour (2020 film), deuteragonist]
  • A. has part in role
    Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
  • B. entertainmentRole chosen
    Indicates that an entity holds a specific function or position within an entertainment context (such as a role in a performance, production, or media work).
  • C. cameoCharacter
    Indicates that one entity appears briefly or in a minor, special-guest role within the context or work associated with another entity.
  • D. roleInFilmEcosystem
    Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
  • E. roleInHaroldAndKumarSeries
    Indicates that an entity portrays a character in the Harold and Kumar film series.
  • F. None of above.

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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b200e9108190bcdde5ba7938ba94 completed April 19, 2026, 10:44 a.m.
PD Predicate disambiguation batch_69e3f8fa62688190a5d5c361ab896256 completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:22 a.m.