Triple

T22468029
Position Surface form Disambiguated ID Type / Status
Subject James H. Willbanks E555410 entity
Predicate usedExperienceIn P148321 FINISHED
Object historical writing on Vietnam 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: historical writing on Vietnam War | Statement: [James H. Willbanks, usedExperienceIn, historical writing on Vietnam War]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedExperienceIn
Context triple: [James H. Willbanks, usedExperienceIn, historical writing on Vietnam War]
  • A. hasExperienceOf
    Indicates that one entity has undergone, encountered, or lived through a particular event, situation, or activity associated with another entity.
  • B. recommendedExperience
    Indicates that a certain level or type of prior experience is advised or preferred for engaging in the related activity, role, or item.
  • C. experienceIncludes
    Indicates that a particular experience encompasses, contains, or involves a specified component, activity, or element as part of it.
  • D. experienceType
    Indicates the specific kind or category of experience associated with an entity or event.
  • E. hasPastExperience
    Indicates that an entity has previously engaged in or undergone the specified activity, role, or situation in the past.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdda62c8190937ac13a4481b4b7 completed April 29, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69e898b6eee08190ba673a0ee329e671 completed April 22, 2026, 9:45 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:48 p.m.