Triple
T26186270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budd al-ʿĀrif |
E654837
|
entity |
| Predicate | titleMeaning |
P4542
|
FINISHED |
| Object |
“The Gnostic’s Necessity”
“The Gnostic’s Necessity” is the English rendering of the title of the work *Budd al-ʿĀrif*, a classic text in the Islamic mystical and Sufi tradition concerned with the essential needs and guidance of the spiritual knower (gnostic).
|
E1711054
|
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: “The Gnostic’s Necessity” | Statement: [Budd al-ʿĀrif, titleMeaning, “The Gnostic’s Necessity”]
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: “The Gnostic’s Necessity” Triple: [Budd al-ʿĀrif, titleMeaning, “The Gnostic’s Necessity”]
Generated description
“The Gnostic’s Necessity” is the English rendering of the title of the work *Budd al-ʿĀrif*, a classic text in the Islamic mystical and Sufi tradition concerned with the essential needs and guidance of the spiritual knower (gnostic).
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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c9df1ac8190a31d3a3fea0b2e16 |
completed | May 2, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11278400348190a08e83848148fa28 |
completed | May 23, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a1136cbeda8819081cf860bf17f629d |
completed | May 23, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a113734675881908e3d0a1c5f223012 |
completed | May 23, 2026, 5:12 a.m. |
Created at: April 26, 2026, 8:42 p.m.