Triple

T37275885
Position Surface form Disambiguated ID Type / Status
Subject Resurrection (TV series) score E924644 entity
Predicate associatedWithCharacterThemes P39449 FINISHED
Object Jacob Langston E1985945 NE 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: Jacob Langston | Statement: [Resurrection (TV series) score, associatedWithCharacterThemes, Jacob Langston]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCharacterThemes
Context triple: [Resurrection (TV series) score, associatedWithCharacterThemes, Jacob Langston]
  • A. associatedWithCharacterRole
    Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
  • B. thematicCharacter
    Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
  • C. themeInvolvingCharacter
    Indicates that a theme, motif, or abstract concept centrally involves or is significantly shaped by a particular character.
  • D. characterTheme chosen
    Indicates that a particular theme, motif, or conceptual focus is associated with a given character.
  • E. associatedWithCharacterAlias
    Indicates that one entity is linked to or connected with an alternative name or alias used for a particular character.
  • F. None of above.

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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40513766ac819092404a3b36be5853 completed June 27, 2026, 10:39 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:16 p.m.