Triple

T14703076
Position Surface form Disambiguated ID Type / Status
Subject Ralph E345356 entity
Predicate initialRole P80578 FINISHED
Object video game villain 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: video game villain | Statement: [Ralph, initialRole, video game villain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialRole
Context triple: [Ralph, initialRole, video game villain]
  • A. earlyRole chosen
    Indicates that an entity held a particular role or position during an early or initial stage of its involvement or development.
  • B. firstCreatorRole
    Indicates the specific role or capacity in which the primary or earliest creator of an entity contributed to its creation.
  • C. secretRole
    Indicates that an entity holds a role or function that is intentionally hidden or not publicly disclosed within a given context.
  • D. laterPrimaryRole
    Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
  • E. primaryUsersRole
    Indicates the role that a primary user holds in relation to a given resource, system, or context.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69de657c57ec8190ae0b9bb79a514566 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:28 a.m.