Triple
T2836871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotfi A. Zadeh |
E62372
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lotfi
Lotfi is the given name of Lotfi A. Zadeh, the Azerbaijani-American computer scientist best known as the founder of fuzzy logic.
|
E303488
|
NE FINISHED |
How this triple was built (4 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: Lotfi | Statement: [Lotfi A. Zadeh, givenName, Lotfi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotfi Context triple: [Lotfi A. Zadeh, givenName, Lotfi]
-
A.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
B.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
C.
Rafi
Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
-
D.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
-
E.
Jamshid
Jamshid is a legendary king in Persian mythology, renowned for his long, prosperous reign and his central role in ancient Iranian cultural and epic traditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lotfi Triple: [Lotfi A. Zadeh, givenName, Lotfi]
Generated description
Lotfi is the given name of Lotfi A. Zadeh, the Azerbaijani-American computer scientist best known as the founder of fuzzy logic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lotfi Target entity description: Lotfi is the given name of Lotfi A. Zadeh, the Azerbaijani-American computer scientist best known as the founder of fuzzy logic.
-
A.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
B.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
C.
Rafi
Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
-
D.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
-
E.
Jamshid
Jamshid is a legendary king in Persian mythology, renowned for his long, prosperous reign and his central role in ancient Iranian cultural and epic traditions.
- F. None of above. chosen
Provenance (5 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeede0488190a9782f55b57559ee |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8c890508190868f50f4e5e1d642 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afe9ba068881908727c82d5eddb974 |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00412e7448190898050f18f64ea9a |
completed | March 10, 2026, 11:44 a.m. |
Created at: March 6, 2026, 10:01 p.m.