Triple
T23188372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanette Newman |
E579660
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nanette |
—
|
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: Nanette | Statement: [Nanette Newman, givenName, Nanette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanette Context triple: [Nanette Newman, givenName, Nanette]
-
A.
Nanette
chosen
Nanette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Yente
Yente is the village matchmaker in the musical "Fiddler on the Roof," known for her gossiping and meddling in the romantic lives of Anatevka’s residents.
-
D.
Ninette
Ninette is a middle name of Countess Emma Luana of Orange-Nassau, a member of the Dutch royal family.
-
E.
Pasqualina
Pasqualina is an Italian feminine given name, traditionally associated with the Easter period and used in various regions of Italy.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.