Triple

T26809048
Position Surface form Disambiguated ID Type / Status
Subject ʿAbd al-ʿUzzā ibn ʿAbd al-Muṭṭalib E671929 entity
Predicate child P120 FINISHED
Object Durra bint Abī Lahab
Durra bint Abī Lahab was a female companion and close relative of the Prophet Muhammad, known as the daughter of his paternal uncle Abū Lahab.
 E1764757 NE 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: Durra bint Abī Lahab | Statement: [ʿAbd al-ʿUzzā ibn ʿAbd al-Muṭṭalib, child, Durra bint Abī Lahab]
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: Durra bint Abī Lahab
Triple: [ʿAbd al-ʿUzzā ibn ʿAbd al-Muṭṭalib, child, Durra bint Abī Lahab]
Generated description
Durra bint Abī Lahab was a female companion and close relative of the Prophet Muhammad, known as the daughter of his paternal uncle Abū Lahab.

Provenance (5 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_69eeb3225a3c8190aaf6746efeded2f3 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a20e4e88190a5ff15e9b7324c6a completed May 2, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12624bf65c8190be1e23f7f2693705 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126594394c8190b1be01eacc7740d6 completed May 24, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a12663846c48190bb9798291bd6a967 completed May 24, 2026, 2:45 a.m.
Created at: April 27, 2026, 4:28 a.m.