Triple

T37671270
Position Surface form Disambiguated ID Type / Status
Subject Elena Lincoln E937962 entity
Predicate roleInChristianBackstory P203923 FINISHED
Object shaped his early sexual experiences 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: shaped his early sexual experiences | Statement: [Elena Lincoln, roleInChristianBackstory, shaped his early sexual experiences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInChristianBackstory
Context triple: [Elena Lincoln, roleInChristianBackstory, shaped his early sexual experiences]
  • A. roleInChristianHistory
    Indicates that an entity holds or is associated with a particular role, function, or significance within the context of Christian history.
  • B. roleInSalvationHistory
    Indicates the specific function or significance an entity has within the overarching narrative or process of salvation history.
  • C. biblicalFigureRole
    Indicates the specific role, function, or office that a biblical figure holds within a biblical narrative or tradition.
  • D. roleInTheProphecy
    Indicates that an entity holds a specific function, status, or significance within the context of a particular prophecy.
  • E. religionInBackstory
    Indicates that a character’s religious beliefs or practices play a role in their past or origin story.
  • 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_69f76ed7b1408190ba8c93c53cb8becf completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a02f2d6f35481909829d4ec710dcb0f completed May 12, 2026, 9:28 a.m.
PD Predicate disambiguation batch_6a02f15a2460819080cb4be5b50221d0 completed May 12, 2026, 9:22 a.m.
PDg Predicate description generation batch_6a02f2d64b28819095578e5317c764b5 completed May 12, 2026, 9:28 a.m.
Created at: May 3, 2026, 4:18 p.m.