Triple

T33770032
Position Surface form Disambiguated ID Type / Status
Subject Boy Willie E865352 entity
Predicate linkedToHistoricalTrauma P195830 FINISHED
Object family history of slavery 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: family history of slavery | Statement: [Boy Willie, linkedToHistoricalTrauma, family history of slavery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkedToHistoricalTrauma
Context triple: [Boy Willie, linkedToHistoricalTrauma, family history of slavery]
  • A. traumaTheme
    Indicates that the relationship or context involves themes of trauma, such as psychological injury, distressing experiences, or their emotional and narrative impact.
  • B. trauma
    Indicates that an entity has experienced a deeply distressing or harmful event or series of events that cause lasting psychological or emotional impact.
  • C. linkedToHistoricalConflict
    Indicates that one entity has a documented association or connection with a past historical conflict involving another entity.
  • D. impactOfTragedy
    Indicates the effect or consequences that a tragic event has on an entity or situation.
  • E. historicallyLinked
    Indicates that two entities are connected through a shared or related historical event, period, or development.
  • 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_69f3498df6f88190bf9647ea4e4a956e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fde9fc184c8190bebef35df0e76076 completed May 8, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69fde6e5beb4819094945a695e961d88 completed May 8, 2026, 1:36 p.m.
PDg Predicate description generation batch_69fde9fb68388190ada4a7018e2a2f76 completed May 8, 2026, 1:49 p.m.
Created at: May 1, 2026, 1:45 a.m.