Triple

T31157181
Position Surface form Disambiguated ID Type / Status
Subject Kwabena E794240 entity
Predicate correspondingFemaleName P158000 FINISHED
Object Abena
Abena is a common Ghanaian female given name, often used as the feminine counterpart to the male name Kwabena in Akan naming traditions.
 E985602 NE FINISHED

How this triple was built (3 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: Abena | Statement: [Kwabena, correspondingFemaleName, Abena]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Abena
Triple: [Kwabena, correspondingFemaleName, Abena]
Generated description
Abena is a common Ghanaian female given name, often used as the feminine counterpart to the male name Kwabena in Akan naming traditions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: correspondingFemaleName
Context triple: [Kwabena, correspondingFemaleName, Abena]
  • A. femaleCounterpartOf chosen
    Indicates that one entity is the female equivalent or corresponding counterpart of another entity within a given role, relationship, or category.
  • B. hasFemaleEquivalent
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • C. namedForGender
    Indicates that one entity is named in a way that reflects or is derived from a particular gender or gender-related characteristic of another entity.
  • D. hasFemaleFormOf
    Indicates that one entity is the specifically female version or form of another, more general or differently gendered entity.
  • E. correspondsToSurname
    Indicates that one entity is the surname or family name associated with, matching, or representing the other entity.
  • F. None of above.

Provenance (6 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_69f224d504908190b01278dcb7fc3fa7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2947269898819083742fb4afb173f1 completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a2947cb99048190b349aa52120b1e24 completed June 10, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a2948b2f428819097e2d0fb35346b35 completed June 10, 2026, 11:21 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 29, 2026, 9:07 p.m.