Triple
T13384568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life |
E319405
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Far Shariat |
E630786
|
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: Far Shariat | Statement: [Life, executiveProducer, Far Shariat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Far Shariat Context triple: [Life, executiveProducer, Far Shariat]
-
A.
Far Shariat
chosen
Far Shariat is a film and television producer best known for his work as an executive producer on acclaimed projects such as the series "Crisis."
-
B.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
-
C.
Sharafat
Sharafat is an Indian film for which Kamal Bose is particularly recognized for his acclaimed cinematography work.
-
D.
Shura-e Nazar
Shura-e Nazar was a powerful military-political alliance of mainly Tajik mujahideen commanders in northern Afghanistan that played a key role in resisting both the Soviet occupation and later the Taliban.
-
E.
Pouran Shariat Razavi
Pouran Shariat Razavi was an Iranian intellectual and writer best known as the wife and close collaborator of influential sociologist and Islamic thinker Ali Shariati.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.