Triple

T23704685
Position Surface form Disambiguated ID Type / Status
Subject Prophet Sulayman thanks Allah for His favor E585684 entity
Predicate showsCharacterTraitOf P37384 FINISHED
Object Prophet Sulayman’s humility before Allah 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: Prophet Sulayman’s humility before Allah | Statement: [Prophet Sulayman thanks Allah for His favor, showsCharacterTraitOf, Prophet Sulayman’s humility before Allah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsCharacterTraitOf
Context triple: [Prophet Sulayman thanks Allah for His favor, showsCharacterTraitOf, Prophet Sulayman’s humility before Allah]
  • A. associatedCharacterTrait chosen
    Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
  • B. childCharacterTrait
    Indicates that a child possesses or exhibits a particular character trait.
  • C. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • D. comicTrait
    Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
  • E. dramaticTrait
    Indicates that an entity possesses a tendency to behave or express itself in an exaggerated, theatrical, or emotionally intense manner.
  • 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_69e24904bd508190abfcb74855de2918 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b685dfc8819081906aceab7b0bdd completed April 29, 2026, 7:43 a.m.
PD Predicate disambiguation batch_69f155d5265881908e43a9696b6a6d0f completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 6:53 p.m.