Triple
T20594061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farah Pahlavi |
E506004
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Farah Diba |
—
|
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: Farah Diba | Statement: [Farah Pahlavi, birthName, Farah Diba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farah Diba Context triple: [Farah Pahlavi, birthName, Farah Diba]
-
A.
Farah Diba
chosen
Farah Diba is the former Empress (Shahbanu) of Iran, known for her marriage to Shah Mohammad Reza Pahlavi and her prominent role in Iran’s cultural and social modernization before the 1979 revolution.
-
B.
Farah Karim
Farah Karim is a fictional freedom fighter and leader of the Urzikstan Liberation Force in the 2019 video game Call of Duty: Modern Warfare.
-
C.
Farah Alibay
Farah Alibay is a Canadian aerospace engineer and NASA mission operations specialist known for her work on Mars rover and helicopter missions.
-
D.
Soraya Tarzi
Soraya Tarzi was a pioneering Afghan queen and women's rights advocate in the early 20th century who played a key role in her country’s modernization.
-
E.
Zaynab Begum
Zaynab Begum was a Safavid royal consort and influential political figure as the wife of Shah Mohammad Khodabanda in 16th-century Iran.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97e3a7c8190b0b4604aaf40564b |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.