Triple
T9162767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nona Gaye |
E219866
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nona |
E528475
|
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: Nona | Statement: [Nona Gaye, givenName, Nona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nona Context triple: [Nona Gaye, givenName, Nona]
-
A.
Nona
Nona is one of the traditional bells of St Mark's Campanile in Venice, historically used to sound the ninth hour and mark time for the city.
-
B.
Nona
chosen
Nona is the Roman goddess of fate who presides over birth and is one of the three Parcae, equivalent to the Greek Fate Clotho.
-
C.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
D.
Suzana
Suzana is the birth name of American actress Sasha Alexander, known for her roles in television series such as NCIS and Rizzoli & Isles.
-
E.
Sonia
Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2c1a9881909b7100b6e436386d |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0547df750819095853f21cf740c63 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.