Triple

T34958007
Position Surface form Disambiguated ID Type / Status
Subject Naomi Wildman E1008170 entity
Predicate familyTheme P191119 FINISHED
Object childhood aboard a starship 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: childhood aboard a starship | Statement: [Naomi Wildman, familyTheme, childhood aboard a starship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyTheme
Context triple: [Naomi Wildman, familyTheme, childhood aboard a starship]
  • A. familyAspect
    Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
  • B. familyClass
    Indicates that an entity belongs to, or is categorized within, a particular family grouping or class in a familial or taxonomic hierarchy.
  • C. family
    Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
  • D. familyAttraction
    Indicates a relationship where one entity feels a romantic or sexual attraction toward a member of their own family.
  • E. familyContext
    Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
  • 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
PDg Predicate description generation batch_69fcda35dc048190a3c90e15230900e0 completed May 7, 2026, 6:30 p.m.
Created at: May 3, 2026, 4 p.m.