Triple
T24259240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAbd al-Karim ibn Hawazin al-Qushayri |
E604653
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object |
Abu ʿAli al-Farmadhi
Abu ʿAli al-Farmadhi was an 11th-century Sufi mystic and scholar of the Khurasan region, known for his role in transmitting early Sufi teachings and spiritual discipline.
|
E1626741
|
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: Abu ʿAli al-Farmadhi | Statement: [ʿAbd al-Karim ibn Hawazin al-Qushayri, teacherOf, Abu ʿAli al-Farmadhi]
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: Abu ʿAli al-Farmadhi Triple: [ʿAbd al-Karim ibn Hawazin al-Qushayri, teacherOf, Abu ʿAli al-Farmadhi]
Generated description
Abu ʿAli al-Farmadhi was an 11th-century Sufi mystic and scholar of the Khurasan region, known for his role in transmitting early Sufi teachings and spiritual discipline.
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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6592688190a9c6850a2e979858 |
completed | April 29, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fc9b9fabc8190ba5a7785acf82755 |
completed | May 22, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_6a0fcac04c188190ae575dc3b2696e65 |
completed | May 22, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fcb321b288190987dc5bb92a6fc2d |
completed | May 22, 2026, 3:19 a.m. |
Created at: April 18, 2026, 12:06 a.m.