Triple
T13590460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alain Aspect |
E324678
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Aspect |
E324678
|
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: Aspect | Statement: [Alain Aspect, hasSurname, Aspect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspect Context triple: [Alain Aspect, hasSurname, Aspect]
-
A.
Aspect
chosen
Aspect is the surname of Alain Aspect, a French physicist renowned for his pioneering experiments on quantum entanglement that confirmed key predictions of quantum mechanics.
-
B.
Aspect
Aspect is a publishing imprint of the Time Warner Book Group known primarily for releasing science fiction and fantasy titles.
-
C.
Assesse
Assesse is a rural municipality and village in the Namur province of Wallonia, Belgium.
-
D.
Aboutness
"Aboutness" is a philosophical work by Stephen Yablo that develops a detailed theory of how sentences and thoughts are directed at or concern particular subjects.
-
E.
AST
AST is the National Rail station code for Aston railway station in Birmingham, England.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.