Triple

T853563
Position Surface form Disambiguated ID Type / Status
Subject Mary Lee Woods E18439 entity
Predicate hasLastingImpactOn P4749 FINISHED
Object history of computing 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: history of computing | Statement: [Mary Lee Woods, hasLastingImpactOn, history of computing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLastingImpactOn
Context triple: [Mary Lee Woods, hasLastingImpactOn, history of computing]
  • A. historicalImpact chosen
    Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
  • B. hasHistoricalInfluenceFrom
    Indicates that one entity’s characteristics, development, or significance have been shaped or affected by the past actions, ideas, or legacy of another entity.
  • C. hasCulturalImpact
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • D. hasSubsequentInfluence
    Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
  • E. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69a4aa81ef348190b067f817574e9efe completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.