Triple

T6540458
Position Surface form Disambiguated ID Type / Status
Subject Paul Benedict E168271 entity
Predicate typeOfActor P20624 FINISHED
Object character actor 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: character actor | Statement: [Paul Benedict, typeOfActor, character actor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfActor
Context triple: [Paul Benedict, typeOfActor, character actor]
  • A. actingRoleType
    Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
  • B. typeOfCharacter
    Indicates that one entity is a specific kind or category of character in relation to another entity.
  • C. actorRole
    Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
  • D. typeOfRole
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • E. performerType chosen
    Indicates the role or category of performer responsible for carrying out an action or participating in an event.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:50 p.m.