Triple

T25619747
Position Surface form Disambiguated ID Type / Status
Subject المقوم بن عبد المطلب E642260 entity
Predicate صلة_القرابة P7844 FINISHED
Object عمّ النبي محمد
المقوم بن عبد المطلب هو أحد أعمام النبي محمد من بني هاشم ومن رجال قريش في الجاهلية.
E1686522 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: عمّ النبي محمد | Statement: [المقوم بن عبد المطلب, صلة_القرابة, عمّ النبي محمد]
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: عمّ النبي محمد
Triple: [المقوم بن عبد المطلب, صلة_القرابة, عمّ النبي محمد]
Generated description
المقوم بن عبد المطلب هو أحد أعمام النبي محمد من بني هاشم ومن رجال قريش في الجاهلية.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: صلة_القرابة
Context triple: [المقوم بن عبد المطلب, صلة_القرابة, عمّ النبي محمد]
  • A. hasFamilialTieTo chosen
    Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
  • B. geneticRelation
    Indicates that two entities are connected through a hereditary or familial genetic relationship.
  • C. relationshipToRelative
    Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
  • D. politicalRelationship
    Indicates a relationship in which entities are connected through political roles, alliances, affiliations, or interactions within a political context.
  • E. closestLivingRelatives
    Indicates that the related entities are the most closely related to each other among all currently living entities, in terms of evolutionary or genealogical proximity.
  • 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_69e77e7a96748190b10f2699041e4e43 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fa1f5710819086f3ba4b42b6478b completed May 2, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b77ef9248190a52c7e8c5ab12a4e completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b8265e8c8190817bca20ada4c82a completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b97dedd48190858687f050f15f7b completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f4807f8680819098a524158d049c63 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 5:03 p.m.