Triple

T12421084
Position Surface form Disambiguated ID Type / Status
Subject William Russell E296772 entity
Predicate doctorWhoRoleType P16411 FINISHED
Object companion 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: companion | Statement: [William Russell, doctorWhoRoleType, companion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doctorWhoRoleType
Context triple: [William Russell, doctorWhoRoleType, companion]
  • A. GameOfThronesRole
    Indicates that one entity plays, voices, or otherwise portrays a character in the television series "Game of Thrones" in relation to another entity.
  • B. actingRoleType chosen
    Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
  • C. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • D. roleInAlienCovenant
    Indicates that an entity has a role or participation in the film "Alien: Covenant."
  • E. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.