Triple
T24474526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rampur-Sahaswan gharana |
E617193
|
entity |
| Predicate | associatedPerson |
P2308
|
FINISHED |
| Object |
Ustad Rashid Khan
Ustad Rashid Khan is a renowned Indian Hindustani classical vocalist celebrated for his emotive renditions and mastery of khayal.
|
E1636761
|
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: Ustad Rashid Khan | Statement: [Rampur-Sahaswan gharana, associatedPerson, Ustad Rashid Khan]
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: Ustad Rashid Khan Triple: [Rampur-Sahaswan gharana, associatedPerson, Ustad Rashid Khan]
Generated description
Ustad Rashid Khan is a renowned Indian Hindustani classical vocalist celebrated for his emotive renditions and mastery of khayal.
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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299457ce081909e8d95fd482928dc |
completed | April 29, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fe39439b88190ae6a6164f01584e8 |
completed | May 22, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_6a0fe47cbaf881909fbc9d3f0d2e99c1 |
completed | May 22, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fe523e5648190bde36809c67adb54 |
completed | May 22, 2026, 5:09 a.m. |
Created at: April 18, 2026, 2:20 a.m.