Triple

T4023182
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Roosevelt mystery series E91325 entity
Predicate usesRealHistoricalEvents P53505 FINISHED
Object true 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: true | Statement: [Eleanor Roosevelt mystery series, usesRealHistoricalEvents, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRealHistoricalEvents
Context triple: [Eleanor Roosevelt mystery series, usesRealHistoricalEvents, true]
  • A. hasHistoricalEvent
    Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
  • B. historicalAccuracyOfPopularDepictions
    Indicates how faithfully popular portrayals or representations reflect the actual historical events, conditions, or figures they depict.
  • C. historicalExistence
    Indicates that an entity actually existed at some point in real-world history, as opposed to being fictional, hypothetical, or mythological.
  • D. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • E. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeface7a788190a0e4e549a6816f91 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8fc78ec819092d4dab88d85a141 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefa815f2c8190818c9ffd9d1bf478 completed March 9, 2026, 4:51 p.m.
Created at: March 9, 2026, 3:35 p.m.