Triple

T4099554
Position Surface form Disambiguated ID Type / Status
Subject Dinarzad E87905 entity
Predicate relationshipToKingShahryar P53369 FINISHED
Object attendant in the royal chamber during storytelling 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: attendant in the royal chamber during storytelling | Statement: [Dinarzad, relationshipToKingShahryar, attendant in the royal chamber during storytelling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToKingShahryar
Context triple: [Dinarzad, relationshipToKingShahryar, attendant in the royal chamber during storytelling]
  • A. relationToNurJahan
    Indicates a relationship or connection that an entity has specifically to Nur Jahan.
  • B. concubineOf
    Indicates a relationship where one person is a concubine belonging to or maintained by another person.
  • C. motherIsConcubineOf
    Indicates that the person’s mother has the social or marital status of a concubine in relation to another specified individual.
  • D. roleInAkbarsLife
    Indicates the specific role, position, or significance that one entity held in relation to Akbar’s life.
  • E. heirOf
    Indicates that one entity is the legal or designated successor who inherits from another entity, typically upon that entity’s death or transfer of rights.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69aef90b2ef08190ae84febfd69dd48b completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefa5c52648190b001027f4dba75cb completed March 9, 2026, 4:50 p.m.
Created at: March 9, 2026, 3:40 p.m.