Triple
T3631304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhi people |
E76960
|
entity |
| Predicate | hasNotableFigure |
P304
|
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: [Sindhi people, hasNotableFigure, Sachal Sarmast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachal Sarmast Context triple: [Sindhi people, hasNotableFigure, 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.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
-
D.
Mir Taqi Mir
Mir Taqi Mir was an 18th-century South Asian poet renowned as one of the greatest pioneers and masters of classical Urdu ghazal poetry.
-
E.
Rehman Nizar Ali
Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30136e88190922bb542971b5239 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f16ba748190a2059804305e55ab |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.