Triple

T10026035
Position Surface form Disambiguated ID Type / Status
Subject Skins E200725 entity
Predicate hasSeriesStructure P91775 FINISHED
Object each episode focuses on a different character 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: each episode focuses on a different character | Statement: [Skins, hasSeriesStructure, each episode focuses on a different character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeriesStructure
Context triple: [Skins, hasSeriesStructure, each episode focuses on a different character]
  • A. isSeriesOf
    Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
  • B. hasStandardSeries
    Indicates that an entity is associated with, or belongs to, a designated standard series or standardized sequence.
  • C. hasSeriesNumber
    Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
  • D. hasParentSeries
    Indicates that a work or item belongs to, or is derived from, a broader parent series.
  • E. hasSupportSeries
    Indicates that one entity is backed, reinforced, or maintained by a sequence or set of supporting elements provided by another entity.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde2009081908eddda7813617df4 completed April 2, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
PDg Predicate description generation batch_69cd4f8d9b888190b8067bd916dae773 completed April 1, 2026, 5:02 p.m.
Created at: March 30, 2026, 8:53 p.m.