Triple
T20932143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Separation |
E515495
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Mahmoud Kalari |
—
|
NE NERFINISHED |
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: Mahmoud Kalari | Statement: [A Separation, cinematography, Mahmoud Kalari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahmoud Kalari Context triple: [A Separation, cinematography, Mahmoud Kalari]
-
A.
Mahmoud Kalari
chosen
Mahmoud Kalari is an acclaimed Iranian cinematographer and photographer known for his visually poetic work on numerous influential films in contemporary Iranian cinema.
-
B.
Mustafa Azizabadi
Mustafa Azizabadi is a senior political leader associated with the London-based faction of Pakistan’s Muttahida Qaumi Movement (MQM).
-
C.
Mahmoud Hesabi
Mahmoud Hesabi was a prominent Iranian physicist, educator, and statesman often regarded as the father of modern physics in Iran.
-
D.
Mohammad Mohaqiq
Mohammad Mohaqiq is an Afghan Hazara political leader and former mujahideen commander who has played a prominent role in Afghanistan’s post-Taliban politics.
-
E.
Sher Mohammad Karimi
Sher Mohammad Karimi is a senior Afghan military leader who served as Chief of General Staff of the Afghan National Army and played a key role in the country’s post-2001 security forces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.