Triple
T20475840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah |
E502314
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Noa |
—
|
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: Noa | Statement: [Noah, hasVariant, Noa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noa Context triple: [Noah, hasVariant, Noa]
-
A.
Noa
chosen
Noa is a Hebrew given name commonly used for women in Israel, distinct from the biblical male name Noah.
-
B.
Noáin
Noáin is a municipality in northern Spain’s Navarre region, known for its proximity to Pamplona and its role as a key transport hub with the nearby Pamplona Airport.
-
C.
Noe
Noe is a masculine given name used in various cultures, often as a form of Noah.
-
D.
Noora
Noora is a feminine given name commonly used in Arabic-speaking and other Muslim-majority cultures, often interpreted to mean "light" or "illumination."
-
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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996584648190a1a6dfcb57782b7f |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:34 a.m.