Triple
T20127995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monk of Mokha |
E490807
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | Mokhtar Alkhanshali |
—
|
NE NERFINISHED |
How this triple was built (3 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: Mokhtar Alkhanshali | Statement: [The Monk of Mokha, mainSubject, Mokhtar Alkhanshali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mokhtar Alkhanshali Context triple: [The Monk of Mokha, mainSubject, Mokhtar Alkhanshali]
-
A.
Ramin Mazaheri
Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
-
B.
Ramin Jahanbegloo
Ramin Jahanbegloo is an Iranian-Canadian philosopher and public intellectual known for his work on nonviolence, democracy, and cross-cultural dialogue.
-
C.
Ramin Toloui
Ramin Toloui is an American economist and former global co-head of emerging markets at PIMCO who has served in senior international economic policy roles in the U.S. government.
-
D.
Maz Jobrani
Maz Jobrani is an Iranian-American comedian and actor known for his stand-up specials, roles in film and television, and commentary on Middle Eastern and immigrant experiences.
-
E.
Saeed Sohrab
Saeed Sohrab is an Iranian academic and mathematician recognized as a distinguished alumnus of Sharif University of Technology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mokhtar Alkhanshali Target entity description: Mokhtar Alkhanshali is a Yemeni American coffee entrepreneur and activist known for reviving high-quality Yemeni coffee and being the subject of Dave Eggers’ nonfiction book "The Monk of Mokha."
-
A.
Ramin Mazaheri
Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
-
B.
Ramin Jahanbegloo
Ramin Jahanbegloo is an Iranian-Canadian philosopher and public intellectual known for his work on nonviolence, democracy, and cross-cultural dialogue.
-
C.
Ramin Toloui
Ramin Toloui is an American economist and former global co-head of emerging markets at PIMCO who has served in senior international economic policy roles in the U.S. government.
-
D.
Maz Jobrani
Maz Jobrani is an Iranian-American comedian and actor known for his stand-up specials, roles in film and television, and commentary on Middle Eastern and immigrant experiences.
-
E.
Saeed Sohrab
Saeed Sohrab is an Iranian academic and mathematician recognized as a distinguished alumnus of Sharif University of Technology.
- F. None of above. chosen
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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6675fe3d48190b0c20b483a951e68 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.