Triple
T12702167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotfi A. Zadeh |
E303488
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lotfi |
E303488
|
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: 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.
Lotfi
chosen
Lotfi is the given name of Lotfi A. Zadeh, the Azerbaijani-American computer scientist best known as the founder of fuzzy logic.
-
B.
Wasfi
Wasfi is an Arabic masculine given name commonly used in the Middle East.
-
C.
Seif
Seif is a family name most notably associated with Riad Seif, a prominent Syrian businessman and opposition politician.
-
D.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
E.
Fikret
Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f0941081908a879cde0be48667 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b27790819085f0f03af33f8f21 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:22 p.m.