Triple

T169649
Position Surface form Disambiguated ID Type / Status
Subject S (middle initial of Harry S. Truman) E3090 entity
Predicate doesNotStandFor P5299 FINISHED
Object specific given name 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: specific given name | Statement: [S (middle initial of Harry S. Truman), doesNotStandFor, specific given name]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotStandFor
Context triple: [S (middle initial of Harry S. Truman), doesNotStandFor, specific given name]
  • A. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • B. doesNotUse
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • C. doesNotImply
    Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
  • D. doesNotHave
    Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
  • E. doesNotParticipateIn
    Indicates that an entity is explicitly not involved in, associated with, or taking part in a specified activity, event, or process.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25665f5b8819096ca3e084faf976e completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a25710bdfc81909b6697159104cf53 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.