Triple
T21550505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolas Léonard Sadi Carnot |
E531747
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sadi |
—
|
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: Sadi | Statement: [Nicolas Léonard Sadi Carnot, givenName, Sadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadi Context triple: [Nicolas Léonard Sadi Carnot, givenName, Sadi]
-
A.
Sadi
chosen
Sadi is the given name of Marie François Sadi Carnot, a 19th-century French statesman who served as President of France.
-
B.
Abdul Salam
Abdul Salam was an Iraqi military officer and politician who served as the President of Iraq from 1963 until his death in 1966.
-
C.
Lotfi
Lotfi is the given name of Lotfi A. Zadeh, the Azerbaijani-American computer scientist best known as the founder of fuzzy logic.
-
D.
Al-Biruni
Al-Biruni was an 11th-century Persian polymath renowned for his pioneering works in astronomy, mathematics, geography, and comparative religion.
-
E.
Nassim
Nassim is the first name of Nassim Nicholas Taleb, a Lebanese-American scholar, statistician, and former trader known for his work on risk, probability, and uncertainty.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59258b88190966c18f1f519dad6 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.