Triple
T2948067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrienne Nesser |
E79550
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Adrienne |
E278477
|
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: Adrienne | Statement: [Adrienne Nesser, givenName, Adrienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrienne Context triple: [Adrienne Nesser, givenName, Adrienne]
-
A.
Adrienne
chosen
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
B.
Adrianne
Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
-
C.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
D.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
E.
Nicole
Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b6cab88190b4dee7e5ec9347e5 |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de92f04c8190967ec290cba891a6 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 8, 2026, 2:57 p.m.