Triple

T35518957
Position Surface form Disambiguated ID Type / Status
Subject Kingslayer E1026499 entity
Predicate tvPortrayal P146207 FINISHED
Object Nikolaj Coster-Waldau NE NERFINISHED

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: Nikolaj Coster-Waldau | Statement: [Kingslayer, tvPortrayal, Nikolaj Coster-Waldau]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tvPortrayal
Context triple: [Kingslayer, tvPortrayal, Nikolaj Coster-Waldau]
  • A. portrayedVia
    Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
  • B. wasPortrayedAs
    Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
  • C. televisionPortrayalCountry
    Indicates the country in which a television portrayal of an entity is produced, set, or primarily associated.
  • D. laterPortrayedAs
    Indicates that an entity is subsequently depicted or represented as another character, role, or form in a later work or context.
  • E. starPortrays chosen
    Indicates that a person has a starring role in which they portray a particular character in a work.
  • 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_69f76dfe78b081908e2b14cb88dd8c00 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79a54aa3c8190b2bb5d790b2d42d4 completed May 3, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69f7961970408190b669cc556e30a608 completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.