Triple
T14791976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrienne de La Fayette |
E347677
|
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 de La Fayette, givenName, Adrienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrienne Context triple: [Adrienne de La Fayette, 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.
Sandra
Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
-
E.
Sandra
Sandra is a fictional character portrayed by English actress Annabelle Wallis.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f349fc8190b049542fef963b58 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:31 a.m.