Triple
T3200665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Lee |
E67041
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sandra |
E177157
|
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: [Sandra Lee, givenName, Sandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Context triple: [Sandra Lee, givenName, Sandra]
-
A.
Sandra
chosen
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.
Sondra
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
-
C.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
D.
Sandra Tilley
Sandra Tilley was an American singer best known as a later member of the Motown girl group Martha and the Vandellas.
-
E.
Paula
Paula is the custom audio and I/O coprocessor used in Commodore Amiga computers, responsible for sound generation and handling certain input/output functions.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9aedef08190824bdf508f85f06f |
completed | March 8, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e822b64c8190b053234690841d38 |
completed | March 12, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:07 p.m.