Triple
T16197392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Dennis |
E393099
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sandra |
E675517
|
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: Sandra | Statement: [Sandy Dennis, givenName, Sandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Context triple: [Sandy Dennis, givenName, Sandra]
-
A.
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.
-
B.
Sandra
Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
-
C.
Sandra
Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
-
D.
Sandra
chosen
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dace848190b1a98e47333b922b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a90be08190bd9fb64abd424e1e |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:02 a.m.