Triple
T22017191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Maughan |
E543743
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sharon |
—
|
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: Sharon | Statement: [Sharon Maughan, givenName, Sharon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharon Context triple: [Sharon Maughan, givenName, Sharon]
-
A.
Sharon
Sharon is a suburban town in Norfolk County, Massachusetts, known for its residential character, natural conservation areas, and proximity to Boston.
-
B.
Sharon
Sharon is the given first name of Christa McAuliffe, the American teacher and astronaut who was selected as the first private citizen in space and died in the 1986 Space Shuttle Challenger disaster.
-
C.
Sharon
Sharon is the given first name of Kristin Harmon, an American actress and painter known for her work in television and her marriage to musician Ricky Nelson.
-
D.
Sharon
chosen
Sharon is a feminine given name of Hebrew origin meaning "a fertile plain," used in various cultures and languages.
-
E.
Sharon
Sharon is a fictional character from Frederick Buechner’s comic novel sequence *The Book of Bebb*, which follows the eccentric evangelist Leo Bebb and those in his orbit.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.