Triple

T22700461
Position Surface form Disambiguated ID Type / Status
Subject An Introduction to Shah Inayat E561305 entity
Predicate biographicalCoverage P75959 FINISHED
Object early life of Shah Inayat 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: early life of Shah Inayat | Statement: [An Introduction to Shah Inayat, biographicalCoverage, early life of Shah Inayat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: biographicalCoverage
Context triple: [An Introduction to Shah Inayat, biographicalCoverage, early life of Shah Inayat]
  • A. includesBiographiesOf
    Indicates that one entity contains or features biographical information about another entity.
  • B. hasBiographicalTheme chosen
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • C. hasBiographicalWork
    Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
  • D. hasBiographicalStyle
    Indicates that something is characterized by or presented in a biographical manner or style.
  • E. hasBiographicalPerspective
    Indicates that one entity presents, analyzes, or frames another entity from a biographical point of view, focusing on life history or personal background.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178ca683c81909f6b4e26b85c99c1 completed April 29, 2026, 3:19 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:15 p.m.