Triple

T1652705
Position Surface form Disambiguated ID Type / Status
Subject Alfred Emanuel Smith E35728 entity
Predicate numberOfTermsInOffice P152 FINISHED
Object 4 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: 4 | Statement: [Alfred Emanuel Smith, numberOfTermsInOffice, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfTermsInOffice
Context triple: [Alfred Emanuel Smith, numberOfTermsInOffice, 4]
  • A. termInOffice
    Indicates the period during which an individual officially holds a particular office or position.
  • B. termLength
    Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
  • C. presidentialTerm
    Indicates the period of time during which an individual officially serves as president of a country or organization.
  • D. termCountAsPresident chosen
    Indicates the number of terms an individual has served in the role of president.
  • E. parliamentaryTerm
    Indicates the specific legislative session or fixed period of time during which a parliament is formally in office and exercises its authority.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaa0fbe984819084f8daee81ca9b67 completed March 6, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69a907ce4dd881909168a1e99505d4ec completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.