Triple

T7915237
Position Surface form Disambiguated ID Type / Status
Subject Christopher Courtney E183806 entity
Predicate serviceDuringPeriod P15403 FINISHED
Object early years of the Second World War 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: early years of the Second World War | Statement: [Christopher Courtney, serviceDuringPeriod, early years of the Second World War]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceDuringPeriod
Context triple: [Christopher Courtney, serviceDuringPeriod, early years of the Second World War]
  • A. serviceDuring chosen
    Indicates that one entity performs or provides a service for another entity during a specified time period or event.
  • B. serviceEntryPeriod
    Indicates the span of time during which a service is active, valid, or in effect for the related entities.
  • C. serviceOpenedBetween
    Indicates that a service has been initiated or made available during the time interval between two specified points or events.
  • D. serviceDays
    Indicates the specific days on which a service is provided or operates.
  • E. sawServicePeriod
    Indicates that one entity observed or was aware of the duration or specific period during which a service was provided or active.
  • F. None of above.

Provenance (3 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69cae9316e98819080be7bf1a6ff92f1 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:05 p.m.