Triple

T550399
Position Surface form Disambiguated ID Type / Status
Subject Game of Thrones Main Title E11824 entity
Predicate popularCultureStatus P15613 FINISHED
Object iconic TV theme 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: iconic TV theme | Statement: [Game of Thrones Main Title, popularCultureStatus, iconic TV theme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularCultureStatus
Context triple: [Game of Thrones Main Title, popularCultureStatus, iconic TV theme]
  • A. popularity
    Indicates how widely liked, admired, or favored something or someone is by a group of people.
  • B. culturalSphere
    Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
  • C. popularizedIn
    Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
  • D. popularFor
    Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
  • E. fanCultureElement
    Indicates a relationship where something is a notable practice, artifact, or tradition that characterizes or expresses a particular fan culture.
  • F. None of above. chosen

Provenance (4 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499030cf4819089b9163102255e49 completed March 1, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69a494bae210819093c2e0d33a8ca51a completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a49858abd48190bd4b002a93e4a908 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.