Triple

T17503052
Position Surface form Disambiguated ID Type / Status
Subject The Blood of Abraham: Insights into the Middle East E426239 entity
Predicate notableAuthorRole P127695 FINISHED
Object former President of the United States 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: former President of the United States | Statement: [The Blood of Abraham: Insights into the Middle East, notableAuthorRole, former President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAuthorRole
Context triple: [The Blood of Abraham: Insights into the Middle East, notableAuthorRole, former President of the United States]
  • A. notableWorkRole
    Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
  • B. notableAuthorMember
    Indicates that an entity is a notable or distinguished author who is a member of a particular group, organization, or collection.
  • C. notableWorkAuthor
    Indicates that one entity is the creator or author of a notable work associated with another entity.
  • D. notableAuthorConcept
    Indicates that an author is notably associated with, influential in, or prominently recognized for work related to a particular concept.
  • E. notableAuthorMention
    Indicates that a notable or well-known author is referenced or cited in relation to the subject.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45213a0e88190ac183d87ec088e86 completed April 19, 2026, 3:54 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:48 a.m.