Triple
T16798930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarmast |
E408303
|
entity |
| Predicate | honorificFor |
P2097
|
FINISHED |
| Object | Sachal Sarmast |
E84118
|
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: Sachal Sarmast | Statement: [Sarmast, honorificFor, Sachal Sarmast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachal Sarmast Context triple: [Sarmast, honorificFor, Sachal Sarmast]
-
A.
Sachal Sarmast
chosen
Sachal Sarmast was an 18th–19th century Sindhi Sufi poet and mystic renowned for his humanist, pluralistic verse composed in multiple South Asian languages.
-
B.
Hafeez Jalandhari
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
C.
Abdul Latif Bhittai
Abdul Latif Bhittai was an 18th-century Sindhi Sufi poet and mystic, renowned for his spiritual poetry compiled in the Shah Jo Risalo and his profound influence on Sindhi literature and Sufism.
-
D.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
-
E.
Sufiana Kalam
Sufiana Kalam is a traditional form of Sufi devotional music from Kashmir, characterized by mystical poetry and spiritually themed singing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2abc430819080c1303eded5f416 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0adc408190a9cbfefdef8c669e |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:22 a.m.